From da77b9e88885328aaac21dd277f6c785baf5af66 Mon Sep 17 00:00:00 2001
From: Ivan Despot <66276597+g-despot@users.noreply.github.com>
Date: Sun, 19 Jul 2026 21:46:32 +0200
Subject: [PATCH 01/35] docs: reference updates for Weaviate 1.39

Remove the schema_tx metrics, which were deleted from core in 1.39.

Promote the Boost API note from preview to generally available, and
rename the now-misleading BoostPreview import alias to BoostNote across
the five pages that render it.
---
 _includes/feature-notes/boost.mdx       | 3 +--
 docs/deploy/configuration/monitoring.md | 8 --------
 docs/weaviate/search/bm25.md            | 4 ++--
 docs/weaviate/search/boost.md           | 4 ++--
 docs/weaviate/search/hybrid.md          | 4 ++--
 docs/weaviate/search/rerank.md          | 4 ++--
 docs/weaviate/search/similarity.md      | 4 ++--
 7 files changed, 11 insertions(+), 20 deletions(-)

diff --git a/_includes/feature-notes/boost.mdx b/_includes/feature-notes/boost.mdx
index 68167df1d..b522d781e 100644
--- a/_includes/feature-notes/boost.mdx
+++ b/_includes/feature-notes/boost.mdx
@@ -1,3 +1,2 @@
-:::caution Preview — added in `v1.38`
-This is a preview feature. The API may change in future releases.
+:::info Added in `v1.39`
 :::
diff --git a/docs/deploy/configuration/monitoring.md b/docs/deploy/configuration/monitoring.md
index 4ecf2dc15..5268dc341 100644
--- a/docs/deploy/configuration/monitoring.md
+++ b/docs/deploy/configuration/monitoring.md
@@ -282,14 +282,6 @@ These metrics track Write-Ahead Log (WAL) recovery operations during startup.
 | `schema_reads_leader_seconds`     | Duration of schema reads that are passed to the leader        | `type` | `Summary` |
 | `schema_wait_for_version_seconds` | Duration of waiting for a schema version to be reached        | `type` | `Summary` |
 
-#### Schema transactions (deprecated)
-
-| Metric                       | Description                                                                             | Labels                | Type      |
-| ---------------------------- | --------------------------------------------------------------------------------------- | --------------------- | --------- |
-| `schema_tx_opened_total`     | Total number of opened schema transactions                                              | `ownership`           | `Counter` |
-| `schema_tx_closed_total`     | Total number of closed schema transactions. A close must be either successful or failed | `ownership`, `status` | `Counter` |
-| `schema_tx_duration_seconds` | Mean duration of a tx by status                                                         | `ownership`, `status` | `Summary` |
-
 #### RAFT metrics (internal)
 
 | Metric                                                        | Description                                                                                                                          | Labels                    | Type      |
diff --git a/docs/weaviate/search/bm25.md b/docs/weaviate/search/bm25.md
index 414e6f856..8acf000c8 100644
--- a/docs/weaviate/search/bm25.md
+++ b/docs/weaviate/search/bm25.md
@@ -16,7 +16,7 @@ import GoCode from '!!raw-loader!/\_includes/code/howto/go/docs/mainpkg/search-b
 import JavaV6Code from "!!raw-loader!/\_includes/code/java-v6/src/test/java/SearchKeywordTest.java";
 import CSharpCode from "!!raw-loader!/\_includes/code/csharp/SearchKeywordTest.cs";
 import GQLCode from '!!raw-loader!/\_includes/code/howto/search.bm25.gql.py';
-import BoostPreview from '/_includes/feature-notes/boost.mdx';
+import BoostNote from '/_includes/feature-notes/boost.mdx';
 
 `Keyword` search, also called "BM25 (Best match 25)" or "sparse vector" search, returns objects that have the highest BM25F scores.
 
@@ -767,7 +767,7 @@ Set the tokenization method to `trigram` at the property level when creating you
 
 ## Soft-rank with Boost
 
-<BoostPreview/>
+<BoostNote/>
 
 Keyword (BM25) queries accept an optional `boost` argument that promotes or demotes matching documents without removing them — useful for biasing results by recency, popularity, a soft filter, or another property. Matching documents move up. Everything else stays in the results but ranks lower.
 
diff --git a/docs/weaviate/search/boost.md b/docs/weaviate/search/boost.md
index 7fe9c60c7..3cf663f28 100644
--- a/docs/weaviate/search/boost.md
+++ b/docs/weaviate/search/boost.md
@@ -10,9 +10,9 @@ import Tabs from '@theme/Tabs';
 import TabItem from '@theme/TabItem';
 import FilteredTextBlock from '@site/src/components/Documentation/FilteredTextBlock';
 import PyCode from '!!raw-loader!/_includes/code/howto/search.boost.py';
-import BoostPreview from '/_includes/feature-notes/boost.mdx';
+import BoostNote from '/_includes/feature-notes/boost.mdx';
 
-<BoostPreview/>
+<BoostNote/>
 
 **Boost** soft-ranks search results — promote or demote matching documents without removing them from the result set. Matching documents move up. Non-matching documents stay in the results but rank lower.
 
diff --git a/docs/weaviate/search/hybrid.md b/docs/weaviate/search/hybrid.md
index 0956af111..1a522821c 100644
--- a/docs/weaviate/search/hybrid.md
+++ b/docs/weaviate/search/hybrid.md
@@ -16,7 +16,7 @@ import GoCode from '!!raw-loader!/\_includes/code/howto/go/docs/mainpkg/search-h
 import JavaV6Code from "!!raw-loader!/\_includes/code/java-v6/src/test/java/SearchHybridTest.java";
 import CSharpCode from "!!raw-loader!/\_includes/code/csharp/SearchHybridTest.cs";
 import GQLCode from '!!raw-loader!/\_includes/code/howto/search.hybrid.gql.py';
-import BoostPreview from '/_includes/feature-notes/boost.mdx';
+import BoostNote from '/_includes/feature-notes/boost.mdx';
 
 `Hybrid` search combines the results of a vector search and a keyword (BM25F) search by fusing the two result sets.
 
@@ -1041,7 +1041,7 @@ import TokenizationNote from '/\_includes/tokenization.mdx'
 
 ## Soft-rank with Boost
 
-<BoostPreview/>
+<BoostNote/>
 
 Hybrid queries accept an optional `boost` argument that promotes or demotes matching documents without removing them — useful for biasing results by recency, popularity, a soft filter, or another property.
 
diff --git a/docs/weaviate/search/rerank.md b/docs/weaviate/search/rerank.md
index 2dac8f571..df7b5b54d 100644
--- a/docs/weaviate/search/rerank.md
+++ b/docs/weaviate/search/rerank.md
@@ -16,7 +16,7 @@ import SimilarityPyCode from '!!raw-loader!/_includes/code/howto/search.similari
 import SimilarityPyCodeV3 from '!!raw-loader!/_includes/code/howto/search.similarity-v3.py';
 import SimilarityTSCode from '!!raw-loader!/_includes/code/howto/search.similarity.ts';
 import GoCode from '!!raw-loader!/_includes/code/howto/go/docs/mainpkg/search-rerank_test.go';
-import BoostPreview from '/_includes/feature-notes/boost.mdx';
+import BoostNote from '/_includes/feature-notes/boost.mdx';
 
 Reranking modules reorder the search result set according to a different set of criteria or a different (e.g. more expensive) algorithm.
 
@@ -199,7 +199,7 @@ The response should look like this:
 
 ## Soft-rank with Boost
 
-<BoostPreview/>
+<BoostNote/>
 
 For lightweight result reordering based on filters, property values, or time / numeric decay — without calling an external rerank model — use [Boost](./boost.md). Rerank and Boost can be used independently. Pick rerank when you need a smarter model to re-rank the top-N, and Boost when you want to bias by simple signals already on the objects.
 
diff --git a/docs/weaviate/search/similarity.md b/docs/weaviate/search/similarity.md
index 5a4c2fe95..5a15583ec 100644
--- a/docs/weaviate/search/similarity.md
+++ b/docs/weaviate/search/similarity.md
@@ -15,7 +15,7 @@ import TSCode from '!!raw-loader!/\_includes/code/howto/search.similarity.ts';
 import GoCode from '!!raw-loader!/\_includes/code/howto/go/docs/mainpkg/search-similarity_test.go';
 import JavaV6Code from "!!raw-loader!/\_includes/code/java-v6/src/test/java/SearchSimilarityTest.java";
 import CSharpCode from "!!raw-loader!/\_includes/code/csharp/SearchSimilarityTest.cs";
-import BoostPreview from '/_includes/feature-notes/boost.mdx';
+import BoostNote from '/_includes/feature-notes/boost.mdx';
 
 Vector search returns the objects with most similar vectors to that of the query.
 
@@ -719,7 +719,7 @@ A larger candidate set (higher top-level `limit`) gives MMR more results to choo
 
 ## Soft-rank with Boost
 
-<BoostPreview/>
+<BoostNote/>
 
 Vector search queries accept an optional `boost` argument that promotes or demotes matching documents without removing them — useful for biasing results by recency, popularity, a soft filter, or another property. Matching documents move up. Everything else stays in the results but ranks lower.
 

From 9a08110ebba52f11a11aca329a38a849a008ee73 Mon Sep 17 00:00:00 2001
From: Ivan Despot <66276597+g-despot@users.noreply.github.com>
Date: Sun, 19 Jul 2026 21:59:57 +0200
Subject: [PATCH 02/35] Document HNSW snapshot automation and env var
 deprecation in v1.39

In v1.39 the HNSW commit log compactor owns the full on-disk lifecycle of
the vector index. Snapshots are always created and managed automatically,
and the five PERSISTENCE_HNSW_SNAPSHOT_* environment variables are inert
no-ops that log a startup warning when set.

Docs serve the latest three supported minors, so the pre-v1.39
configuration guidance is retained and scoped to v1.31 through v1.38
rather than removed.

- configuration/hnsw-snapshots.md: lead with the v1.39 behavior and the
  list of ignored variables; move the existing configuration reference
  into a section scoped to earlier versions.
- concepts/storage.md: describe snapshots as part of the storage engine
  rather than an opt-in speedup, cover the streaming on-disk merge and
  the crash-safety mechanisms, and scope the previous conditional
  creation and snapshot fallback behavior to earlier versions.
- env-vars/index.md: mark the five variables deprecated in v1.39 while
  preserving what they did for readers on earlier versions.
- feature-notes/hnsw-snapshots.mdx: note the v1.39 change on both pages
  that consume the include.
---
 _includes/feature-notes/hnsw-snapshots.mdx    |  1 +
 docs/deploy/configuration/env-vars/index.md   | 10 ++---
 docs/weaviate/concepts/storage.md             | 26 +++++-------
 docs/weaviate/configuration/hnsw-snapshots.md | 40 ++++++++++++++-----
 4 files changed, 48 insertions(+), 29 deletions(-)

diff --git a/_includes/feature-notes/hnsw-snapshots.mdx b/_includes/feature-notes/hnsw-snapshots.mdx
index ff9190c52..d8dd60421 100644
--- a/_includes/feature-notes/hnsw-snapshots.mdx
+++ b/_includes/feature-notes/hnsw-snapshots.mdx
@@ -1,2 +1,3 @@
 :::info Added in `v1.31`
+Starting in `v1.39`, HNSW snapshots are created and managed automatically, and are no longer configurable.
 :::
diff --git a/docs/deploy/configuration/env-vars/index.md b/docs/deploy/configuration/env-vars/index.md
index e5cca50b4..037cf00cb 100644
--- a/docs/deploy/configuration/env-vars/index.md
+++ b/docs/deploy/configuration/env-vars/index.md
@@ -83,11 +83,11 @@ import APITable from '@site/src/components/APITable';
 | `OPERATIONAL_MODE` | Sets the [mode of operation](../status.md#operational-modes) for the instance. Options: `READ_WRITE` (default), `READ_ONLY`, `WRITE_ONLY`, `SCALE_OUT`. Limits available operations based on the mode selected. | `string` | `READ_WRITE` |
 | `ORIGIN` | Set the http(s) origin for Weaviate | `string - HTTP origin` | `https://my-weaviate-deployment.com` |
 | `PERSISTENCE_DATA_PATH` | Path to the Weaviate data store.<br/>[Note about file systems and performance](/weaviate/concepts/resources.md#file-system). | `string - file path` | `/var/lib/weaviate` <br/> Defaults to `./data`|
-| `PERSISTENCE_HNSW_DISABLE_SNAPSHOTS` | If set, [HNSW snapshotting](/weaviate/concepts/storage.md#persistence-and-crash-recovery) will be disabled. Default: `false` (enabled) as of `v1.36`; `true` (disabled) in `v1.31`–`v1.35`<br/>Added in `v1.31` | `boolean` | `false` |
-| `PERSISTENCE_HNSW_SNAPSHOT_INTERVAL_SECONDS` | The minimum time in seconds that must pass before the next snapshot is created. Default: `21600` seconds (6 hours)<br/>Added in `v1.31` | `string - number` | `3600` |
-| `PERSISTENCE_HNSW_SNAPSHOT_MIN_DELTA_COMMITLOGS_NUMBER` | The minimum number of new commit log files created since the last snapshot. Default: `1`<br/>Added in `v1.31` | `string - number` | `100` |
-| `PERSISTENCE_HNSW_SNAPSHOT_MIN_DELTA_COMMITLOGS_SIZE_PERCENTAGE` | The minimum total size of new commit logs (as a percentage of the previous snapshot's size) required to trigger a new snapshot. Default: `5` (meaning 5% of the previous snapshot's size in new commit logs)<br/>Added in `v1.31` | `string - number` | `15` |
-| `PERSISTENCE_HNSW_SNAPSHOT_ON_STARTUP` | If set, Weaviate will try to create a new snapshot during startup if there are changes in the commit log since the last snapshot. If there are no changes, then the existing snapshot will be loaded. Default: `true`<br/>Added in `v1.31` | `boolean` | `false` |
+| `PERSISTENCE_HNSW_DISABLE_SNAPSHOTS` | **Deprecated in `v1.39`.** [HNSW snapshots](/weaviate/configuration/hnsw-snapshots.md) are now always enabled and managed automatically, so this variable is ignored and setting it logs a startup warning. In `v1.31`–`v1.38`: if set, HNSW snapshotting will be disabled. Default: `false` (enabled) as of `v1.36`; `true` (disabled) in `v1.31`–`v1.35`<br/>Added in `v1.31` | `boolean` | `false` |
+| `PERSISTENCE_HNSW_SNAPSHOT_INTERVAL_SECONDS` | **Deprecated in `v1.39`.** [HNSW snapshots](/weaviate/configuration/hnsw-snapshots.md) are now always enabled and managed automatically, so this variable is ignored and setting it logs a startup warning. In `v1.31`–`v1.38`: the minimum time in seconds that must pass before the next snapshot is created. Default: `21600` seconds (6 hours)<br/>Added in `v1.31` | `string - number` | `3600` |
+| `PERSISTENCE_HNSW_SNAPSHOT_MIN_DELTA_COMMITLOGS_NUMBER` | **Deprecated in `v1.39`.** [HNSW snapshots](/weaviate/configuration/hnsw-snapshots.md) are now always enabled and managed automatically, so this variable is ignored and setting it logs a startup warning. In `v1.31`–`v1.38`: the minimum number of new commit log files created since the last snapshot. Default: `1`<br/>Added in `v1.31` | `string - number` | `100` |
+| `PERSISTENCE_HNSW_SNAPSHOT_MIN_DELTA_COMMITLOGS_SIZE_PERCENTAGE` | **Deprecated in `v1.39`.** [HNSW snapshots](/weaviate/configuration/hnsw-snapshots.md) are now always enabled and managed automatically, so this variable is ignored and setting it logs a startup warning. In `v1.31`–`v1.38`: the minimum total size of new commit logs (as a percentage of the previous snapshot's size) required to trigger a new snapshot. Default: `5` (meaning 5% of the previous snapshot's size in new commit logs)<br/>Added in `v1.31` | `string - number` | `15` |
+| `PERSISTENCE_HNSW_SNAPSHOT_ON_STARTUP` | **Deprecated in `v1.39`.** [HNSW snapshots](/weaviate/configuration/hnsw-snapshots.md) are now always enabled and managed automatically, so this variable is ignored and setting it logs a startup warning. In `v1.31`–`v1.38`: if set, Weaviate will try to create a new snapshot during startup if there are changes in the commit log since the last snapshot. If there are no changes, then the existing snapshot will be loaded. Default: `true`<br/>Added in `v1.31` | `boolean` | `false` |
 | `PERSISTENCE_HNSW_MAX_LOG_SIZE` | Maximum size of the HNSW [write-ahead-log](/weaviate/concepts/storage.md#hnsw-vector-index-storage). Increase this to improve log compaction efficiency, or decrease to reduce memory requirements. Default: 500MiB | `string` | `4GiB` (IEC units), `4GB` (SI units), `4000000000` (bytes) |
 | `PERSISTENCE_LSM_ACCESS_STRATEGY` | Function used to access disk data in virtual memory. Default: `mmap` | `string` | `mmap` or `pread` |
 | `PERSISTENCE_LSM_MAX_SEGMENT_SIZE` | Maximum size of a segment in the [LSM store](/weaviate/concepts/storage.md#object-and-inverted-index-store). Set this to limit disk usage spikes during compaction to ~2x the segment size. Default: no limit | `string` | `4GiB` (IEC units), `4GB` (SI units), `4000000000` (bytes) |
diff --git a/docs/weaviate/concepts/storage.md b/docs/weaviate/concepts/storage.md
index 607330f5a..4ce2936e4 100644
--- a/docs/weaviate/concepts/storage.md
+++ b/docs/weaviate/concepts/storage.md
@@ -101,7 +101,7 @@ For the HNSW vector index, the Write-Ahead-Log (WAL) is a critical component for
 
 The entire HNSW index state can be reconstructed by replaying these WAL entries.
 
-For very large indexes of tens or hundreds of millions of objects, this can be time-consuming. If you have a large index and you want to speed up the startup time, you can use the **[HNSW snapshots](../configuration/hnsw-snapshots.md)** feature.
+For very large indexes of tens or hundreds of millions of objects, this can be time-consuming. To avoid replaying the entire WAL on every restart, Weaviate periodically writes **[HNSW snapshots](../configuration/hnsw-snapshots.md)**.
 
 ### HNSW snapshots
 
@@ -109,27 +109,23 @@ import HnswSnapshots from '/_includes/feature-notes/hnsw-snapshots.mdx';
 
 <HnswSnapshots/>
 
-For very large HNSW vector indexes, HNSW snapshots can significantly reduce the startup time.
+For very large HNSW vector indexes, HNSW snapshots significantly reduce the startup time.
 
-A snapshot represents a point-in-time state of the HNSW index. When Weaviate starts, if a valid snapshot exists, it will be loaded into memory first. This significantly reduces startup time, as the number of WAL entries that need to be processed, as only the changes made after the snapshot was taken need to be replayed from the WAL.
+A snapshot represents a point-in-time state of the HNSW index. When Weaviate starts, if a snapshot exists, it is loaded first, and only the changes made after the snapshot was taken are replayed from the WAL. This significantly reduces startup time, because the number of WAL entries that have to be processed no longer grows with the age of the index.
 
-If a snapshot cannot be loaded for any reason, it is safely removed, and Weaviate falls back to the traditional method of loading the full commit log from the beginning, ensuring resilience.
+The WAL is still used to persist every change immediately, guaranteeing that any acknowledged write is durable. Even with a fresh snapshot, the server typically still has to load at least one subsequent commit log file.
 
-Snapshots can be created at startup and periodically based on time passed or changes in the commit log.
+Starting in `v1.39`, snapshots are part of how the vector index is stored rather than an optional speedup, and Weaviate manages them automatically. A background compactor owns the on-disk lifecycle of the index: it converts each newly flushed commit log into a sorted file, merges sorted files together, and writes a new snapshot when doing so is worthwhile. Snapshot and commit log files live in the same directory, and a snapshot replaces the files it covers rather than duplicating them, which keeps the disk footprint proportional to the size of the index.
 
-Weaviate will try to create a new snapshot during startup if there are changes in the commit log since the last snapshot. If there are no changes, then the existing snapshot will be loaded.
+Because the merge reads its inputs as sorted streams from disk, only the most recently flushed commit log is processed in memory. That step has a fixed cost regardless of how large the graph is, so snapshot creation no longer requires enough memory to hold the previous snapshot plus the commit log delta.
 
-A snapshot will also be created if the corresponding conditions are met, meaning the specified time interval has passed and a sufficient number of new commits exist. This is handled by the same background process that manages commit log combining and condensing, ensuring stability as the commit logs used for snapshot creation are not mutable during this process.
+Weaviate protects this on-disk state in several ways. New files are written to a temporary path and atomically renamed into place, so an interrupted write can never be mistaken for a complete file, and orphaned temporary files are cleaned up on the next startup. Snapshots are stored in a checksummed block format. If a commit log file has a torn tail after a crash, it is truncated back to its last valid entry, and a compacted segment that cannot be read in full is dropped in favor of the snapshot and the remaining clean segments.
 
-Each new HNSW snapshot is based on the previous snapshot and newer (delta) commit logs.
+See **[the HNSW snapshots configuration](../configuration/hnsw-snapshots.md)** for version-specific details.
 
-It's important to note that even with a fresh snapshot, the server typically still has to load at least one subsequent commit log file.
-
-The WAL is still used to persist every change immediately, guaranteeing that any acknowledged write is durable. Over time, the append-only WAL will contain redundant information for operations occurring after the last snapshot. A background process continuously compacts these newer WAL files, removing redundant information. This, combined with snapshotting, keeps the disk footprint manageable and startup times fast.
-
-See **[the HNSW snapshots configuration](../configuration/hnsw-snapshots.md)** for more details on how to configure this feature.
-
-Starting in `v1.36`, HNSW snapshots are enabled by default. In `v1.31` through `v1.35`, they are disabled by default.
+:::note Behavior before `v1.39`
+In `v1.31` through `v1.38`, snapshots are an optional feature layered on top of the commit log, and are configured with the `PERSISTENCE_HNSW_SNAPSHOT_*` environment variables. They are enabled by default starting in `v1.36`, and disabled by default in `v1.31` through `v1.35`. In these versions, Weaviate creates a snapshot at startup if the commit log changed since the last snapshot, and periodically once a configured time interval has passed and enough new commit log data has accumulated. If a snapshot cannot be loaded, it is removed and Weaviate falls back to loading the full commit log from the beginning. In `v1.39` and later, a snapshot that cannot be read is a startup error instead, because the commit logs it covers no longer exist as a separate copy.
+:::
 
 ## Conclusions
 
diff --git a/docs/weaviate/configuration/hnsw-snapshots.md b/docs/weaviate/configuration/hnsw-snapshots.md
index 9db38efb5..85479f8d0 100644
--- a/docs/weaviate/configuration/hnsw-snapshots.md
+++ b/docs/weaviate/configuration/hnsw-snapshots.md
@@ -2,29 +2,51 @@
 title: HNSW Snapshots
 sidebar_position: 47
 sidebar_label: HNSW Snapshots
-description: Learn about HNSW snapshots in Weaviate for faster startup times and how to manage them.
+description: Learn how Weaviate uses HNSW snapshots for faster startup times, and how they were configured in versions before v1.39.
 ---
 
 import HnswSnapshots from '/_includes/feature-notes/hnsw-snapshots.mdx';
 
 <HnswSnapshots/>
 
-HNSW (Hierarchical Navigable Small World) snapshots can significantly reduce startup times for instances with large vector indexes.
-
-HNSW snapshotting is **enabled by default** starting in `v1.36`. To disable it, set `PERSISTENCE_HNSW_DISABLE_SNAPSHOTS` to `true`.
-
-In versions prior to `v1.36`, HNSW snapshotting is disabled by default. Set `PERSISTENCE_HNSW_DISABLE_SNAPSHOTS` to `false` to enable it.
+HNSW (Hierarchical Navigable Small World) snapshots significantly reduce startup times for instances with large vector indexes.
 
 :::info Concepts: HNSW snapshots
 See this [concepts page](../concepts/storage.md#hnsw-snapshots) for a detailed description.
 :::
 
-## Configuring snapshot creation
+## Snapshots in `v1.39` and later
+
+Starting in `v1.39`, HNSW snapshots are always enabled and are not configurable.
+
+The commit log compactor owns the on-disk lifecycle of the vector index, and snapshots are one of the file formats it produces. Weaviate creates and maintains them automatically, so there is nothing to enable, disable, schedule, or tune.
+
+### Environment variables that no longer have an effect
+
+The following environment variables are still recognized, so existing deployments continue to start without a configuration error. However, they are ignored:
+
+- `PERSISTENCE_HNSW_DISABLE_SNAPSHOTS`
+- `PERSISTENCE_HNSW_SNAPSHOT_INTERVAL_SECONDS`
+- `PERSISTENCE_HNSW_SNAPSHOT_ON_STARTUP`
+- `PERSISTENCE_HNSW_SNAPSHOT_MIN_DELTA_COMMITLOGS_NUMBER`
+- `PERSISTENCE_HNSW_SNAPSHOT_MIN_DELTA_COMMITLOGS_SIZE_PERCENTAGE`
+
+If any of these variables is set, Weaviate logs a warning at startup that names the variable and states that it has no effect and will be removed in a future version. Variables that are not set produce no warning. To clear the warnings, remove the variables from your deployment configuration.
+
+Setting the equivalent options in a YAML or JSON configuration file is also accepted and also ignored, but it does not produce a startup warning.
+
+## Configuring snapshot creation in versions before `v1.39`
+
+:::note
+This section applies to `v1.31` through `v1.38` only. In `v1.39` and later, the environment variables below are ignored.
+:::
+
+In these versions, HNSW snapshotting is an optional feature layered on top of the commit log, and the following environment variables control it.
 
-Set the following optional environment variables to configure the snapshotting behavior.
+HNSW snapshotting is **enabled by default** starting in `v1.36`. To disable it, set `PERSISTENCE_HNSW_DISABLE_SNAPSHOTS` to `true`. In versions prior to `v1.36`, HNSW snapshotting is disabled by default. Set `PERSISTENCE_HNSW_DISABLE_SNAPSHOTS` to `false` to enable it.
 
 :::note
-Before creating a new snapshot, the previous snapshot and the commit log difference need to be loaded into memory. Make sure you have enough memory to accommodate this process.
+Before creating a new snapshot, the previous snapshot and the commit log difference need to be loaded into memory. Make sure you have enough memory to accommodate this process. This requirement does not apply in `v1.39` and later, where snapshots are merged from disk as a stream.
 :::
 
 ### Snapshot on startup

From ea6236e4ef7540cd04cff07b5c3c973a0045196c Mon Sep 17 00:00:00 2001
From: Ivan Despot <66276597+g-despot@users.noreply.github.com>
Date: Sun, 19 Jul 2026 22:12:53 +0200
Subject: [PATCH 03/35] Correct corrupt segment recovery description in storage
 concepts

The v1.39 crash-safety paragraph said a compacted segment that cannot be
read in full is dropped in favor of the snapshot and the remaining clean
segments. That is not what the loader does. For both raw commit logs and
compacted .sorted/.condensed segments it calls truncateToLastValidRecord,
keeping every record written before the corruption and leaving the file
valid for later compaction. Only the damaged tail is lost.

The two outcomes differ in recall, so describe the retention explicitly
and phrase both cases as the single mechanism they actually are.

Note that the struct comment at compact/loader.go:73-74 and the matching
one at hnsw/startup.go:101-102 still describe the discard behavior and
contradict the implementation. Tracked separately on the core side.
---
 docs/weaviate/concepts/storage.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/weaviate/concepts/storage.md b/docs/weaviate/concepts/storage.md
index 4ce2936e4..f8a4a383c 100644
--- a/docs/weaviate/concepts/storage.md
+++ b/docs/weaviate/concepts/storage.md
@@ -119,7 +119,7 @@ Starting in `v1.39`, snapshots are part of how the vector index is stored rather
 
 Because the merge reads its inputs as sorted streams from disk, only the most recently flushed commit log is processed in memory. That step has a fixed cost regardless of how large the graph is, so snapshot creation no longer requires enough memory to hold the previous snapshot plus the commit log delta.
 
-Weaviate protects this on-disk state in several ways. New files are written to a temporary path and atomically renamed into place, so an interrupted write can never be mistaken for a complete file, and orphaned temporary files are cleaned up on the next startup. Snapshots are stored in a checksummed block format. If a commit log file has a torn tail after a crash, it is truncated back to its last valid entry, and a compacted segment that cannot be read in full is dropped in favor of the snapshot and the remaining clean segments.
+Weaviate protects this on-disk state in several ways. New files are written to a temporary path and atomically renamed into place, so an interrupted write can never be mistaken for a complete file, and orphaned temporary files are cleaned up on the next startup. Snapshots are stored in a checksummed block format. If a file cannot be read in full, whether it is a commit log with a torn tail after a crash or a compacted segment damaged on disk, it is truncated back to its last valid entry. The entries written before the damage are retained, and the file becomes valid again so that later compaction can read it. Only the damaged tail is lost, and it is unrecoverable in any case.
 
 See **[the HNSW snapshots configuration](../configuration/hnsw-snapshots.md)** for version-specific details.
 

From 9e2a168fa2accc54a5da0e423e52d638adbb8fc8 Mon Sep 17 00:00:00 2001
From: Ivan Despot <66276597+g-despot@users.noreply.github.com>
Date: Sun, 19 Jul 2026 22:14:44 +0200
Subject: [PATCH 04/35] Reword the HNSW Snapshots configuration card

The card read "Configure HNSW index snapshots for faster recovery and
startup." There is nothing to configure in v1.39, but the page still
serves v1.37 and v1.38 readers who can configure it, so the description
now leads with the outcome instead of the action and reads correctly for
both audiences.

Keeps the imperative benefit-first voice of the neighbouring cards
("Reduce memory usage with...", "Enable the built-in..."), and drops the
restatement of the card title, which the title already supplies.
---
 docs/weaviate/configuration/index.mdx | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/weaviate/configuration/index.mdx b/docs/weaviate/configuration/index.mdx
index 40bc472d4..3177eca48 100644
--- a/docs/weaviate/configuration/index.mdx
+++ b/docs/weaviate/configuration/index.mdx
@@ -28,7 +28,7 @@ export const configOpsData = [
   {
     title: "HNSW Snapshots",
     description:
-      "Configure HNSW index snapshots for faster recovery and startup.",
+      "Speed up startup and recovery for instances with large vector indexes.",
     link: "/weaviate/configuration/hnsw-snapshots",
     icon: "fas fa-camera",
   },

From 4bad93ce961cc86fe644f89b85058ef7199480d6 Mon Sep 17 00:00:00 2001
From: Ivan Despot <66276597+g-despot@users.noreply.github.com>
Date: Sun, 19 Jul 2026 22:23:06 +0200
Subject: [PATCH 05/35] Apply editor feedback to the v1.39 HNSW snapshot docs

Blocking items:

- Move the v1.39 startup-failure behavior out of the historical note and
  into the main durability prose. It was the last sentence of a box
  titled "Behavior before v1.39", which told v1.39 readers to skip the
  highest-consequence fact in the release.
- Split the durability paragraph in three so commit logs and snapshots
  are not conflated. Commit logs, including compacted ones, self-heal by
  truncation; snapshots are never truncated or repaired and an unreadable
  one fails the index load.
- Stop calling HNSW compaction output a "segment", which contradicts
  "the vector index does not use segmentation" earlier on the same page.
  Vocabulary is now commit log, compacted commit log, snapshot, compactor.
- Replace en dashes in the env-var rows with "through", matching the
  other two files.

Also:

- Compound title on the feature-note include, per the rq-8bit precedent.
- Halve the repeated boilerplate in the five env-var rows and point the
  historical half at a new stable anchor on the pre-v1.39 section, so
  readers on earlier versions land on the part that applies to them.
- Drop "periodically" from the snapshot lead-in (compaction is driven by
  the compactor, not a timer) and stop framing a snapshot as conditional.
- Retitle both scoping notes to name v1.31 through v1.38 explicitly,
  since snapshots did not exist before v1.31.
- Add a caution to the configuration page covering the fail-to-start
  behavior, which every deprecated env-var row links to.
- Name the configuration file that silently accepts these settings.

The recovery advice was verified against the compactor deleting its
input files after a successful snapshot write, and the loader filtering
covered commit logs, which together confirm no local copy survives.
---
 _includes/feature-notes/hnsw-snapshots.mdx    |  4 +++-
 docs/deploy/configuration/env-vars/index.md   | 10 +++++-----
 docs/weaviate/concepts/storage.md             | 18 +++++++++++-------
 docs/weaviate/configuration/hnsw-snapshots.md | 12 ++++++++----
 4 files changed, 27 insertions(+), 17 deletions(-)

diff --git a/_includes/feature-notes/hnsw-snapshots.mdx b/_includes/feature-notes/hnsw-snapshots.mdx
index d8dd60421..4d7fb6b8b 100644
--- a/_includes/feature-notes/hnsw-snapshots.mdx
+++ b/_includes/feature-notes/hnsw-snapshots.mdx
@@ -1,3 +1,5 @@
-:::info Added in `v1.31`
+:::info Added in `v1.31` · Changed in `v1.39`
+
 Starting in `v1.39`, HNSW snapshots are created and managed automatically, and are no longer configurable.
+
 :::
diff --git a/docs/deploy/configuration/env-vars/index.md b/docs/deploy/configuration/env-vars/index.md
index 037cf00cb..74f83efef 100644
--- a/docs/deploy/configuration/env-vars/index.md
+++ b/docs/deploy/configuration/env-vars/index.md
@@ -83,11 +83,11 @@ import APITable from '@site/src/components/APITable';
 | `OPERATIONAL_MODE` | Sets the [mode of operation](../status.md#operational-modes) for the instance. Options: `READ_WRITE` (default), `READ_ONLY`, `WRITE_ONLY`, `SCALE_OUT`. Limits available operations based on the mode selected. | `string` | `READ_WRITE` |
 | `ORIGIN` | Set the http(s) origin for Weaviate | `string - HTTP origin` | `https://my-weaviate-deployment.com` |
 | `PERSISTENCE_DATA_PATH` | Path to the Weaviate data store.<br/>[Note about file systems and performance](/weaviate/concepts/resources.md#file-system). | `string - file path` | `/var/lib/weaviate` <br/> Defaults to `./data`|
-| `PERSISTENCE_HNSW_DISABLE_SNAPSHOTS` | **Deprecated in `v1.39`.** [HNSW snapshots](/weaviate/configuration/hnsw-snapshots.md) are now always enabled and managed automatically, so this variable is ignored and setting it logs a startup warning. In `v1.31`–`v1.38`: if set, HNSW snapshotting will be disabled. Default: `false` (enabled) as of `v1.36`; `true` (disabled) in `v1.31`–`v1.35`<br/>Added in `v1.31` | `boolean` | `false` |
-| `PERSISTENCE_HNSW_SNAPSHOT_INTERVAL_SECONDS` | **Deprecated in `v1.39`.** [HNSW snapshots](/weaviate/configuration/hnsw-snapshots.md) are now always enabled and managed automatically, so this variable is ignored and setting it logs a startup warning. In `v1.31`–`v1.38`: the minimum time in seconds that must pass before the next snapshot is created. Default: `21600` seconds (6 hours)<br/>Added in `v1.31` | `string - number` | `3600` |
-| `PERSISTENCE_HNSW_SNAPSHOT_MIN_DELTA_COMMITLOGS_NUMBER` | **Deprecated in `v1.39`.** [HNSW snapshots](/weaviate/configuration/hnsw-snapshots.md) are now always enabled and managed automatically, so this variable is ignored and setting it logs a startup warning. In `v1.31`–`v1.38`: the minimum number of new commit log files created since the last snapshot. Default: `1`<br/>Added in `v1.31` | `string - number` | `100` |
-| `PERSISTENCE_HNSW_SNAPSHOT_MIN_DELTA_COMMITLOGS_SIZE_PERCENTAGE` | **Deprecated in `v1.39`.** [HNSW snapshots](/weaviate/configuration/hnsw-snapshots.md) are now always enabled and managed automatically, so this variable is ignored and setting it logs a startup warning. In `v1.31`–`v1.38`: the minimum total size of new commit logs (as a percentage of the previous snapshot's size) required to trigger a new snapshot. Default: `5` (meaning 5% of the previous snapshot's size in new commit logs)<br/>Added in `v1.31` | `string - number` | `15` |
-| `PERSISTENCE_HNSW_SNAPSHOT_ON_STARTUP` | **Deprecated in `v1.39`.** [HNSW snapshots](/weaviate/configuration/hnsw-snapshots.md) are now always enabled and managed automatically, so this variable is ignored and setting it logs a startup warning. In `v1.31`–`v1.38`: if set, Weaviate will try to create a new snapshot during startup if there are changes in the commit log since the last snapshot. If there are no changes, then the existing snapshot will be loaded. Default: `true`<br/>Added in `v1.31` | `boolean` | `false` |
+| `PERSISTENCE_HNSW_DISABLE_SNAPSHOTS` | **Deprecated in `v1.39`.** Ignored, and logs a startup warning. [In `v1.31` through `v1.38`](/weaviate/configuration/hnsw-snapshots.md#pre-v1-39-configuration): if set, HNSW snapshotting will be disabled. Default: `false` (enabled) as of `v1.36`; `true` (disabled) in `v1.31` through `v1.35`<br/>Added in `v1.31` | `boolean` | `false` |
+| `PERSISTENCE_HNSW_SNAPSHOT_INTERVAL_SECONDS` | **Deprecated in `v1.39`.** Ignored, and logs a startup warning. [In `v1.31` through `v1.38`](/weaviate/configuration/hnsw-snapshots.md#pre-v1-39-configuration): the minimum time in seconds that must pass before the next snapshot is created. Default: `21600` seconds (6 hours)<br/>Added in `v1.31` | `string - number` | `3600` |
+| `PERSISTENCE_HNSW_SNAPSHOT_MIN_DELTA_COMMITLOGS_NUMBER` | **Deprecated in `v1.39`.** Ignored, and logs a startup warning. [In `v1.31` through `v1.38`](/weaviate/configuration/hnsw-snapshots.md#pre-v1-39-configuration): the minimum number of new commit log files created since the last snapshot. Default: `1`<br/>Added in `v1.31` | `string - number` | `100` |
+| `PERSISTENCE_HNSW_SNAPSHOT_MIN_DELTA_COMMITLOGS_SIZE_PERCENTAGE` | **Deprecated in `v1.39`.** Ignored, and logs a startup warning. [In `v1.31` through `v1.38`](/weaviate/configuration/hnsw-snapshots.md#pre-v1-39-configuration): the minimum total size of new commit logs (as a percentage of the previous snapshot's size) required to trigger a new snapshot. Default: `5` (meaning 5% of the previous snapshot's size in new commit logs)<br/>Added in `v1.31` | `string - number` | `15` |
+| `PERSISTENCE_HNSW_SNAPSHOT_ON_STARTUP` | **Deprecated in `v1.39`.** Ignored, and logs a startup warning. [In `v1.31` through `v1.38`](/weaviate/configuration/hnsw-snapshots.md#pre-v1-39-configuration): if set, Weaviate will try to create a new snapshot during startup if there are changes in the commit log since the last snapshot. If there are no changes, then the existing snapshot will be loaded. Default: `true`<br/>Added in `v1.31` | `boolean` | `false` |
 | `PERSISTENCE_HNSW_MAX_LOG_SIZE` | Maximum size of the HNSW [write-ahead-log](/weaviate/concepts/storage.md#hnsw-vector-index-storage). Increase this to improve log compaction efficiency, or decrease to reduce memory requirements. Default: 500MiB | `string` | `4GiB` (IEC units), `4GB` (SI units), `4000000000` (bytes) |
 | `PERSISTENCE_LSM_ACCESS_STRATEGY` | Function used to access disk data in virtual memory. Default: `mmap` | `string` | `mmap` or `pread` |
 | `PERSISTENCE_LSM_MAX_SEGMENT_SIZE` | Maximum size of a segment in the [LSM store](/weaviate/concepts/storage.md#object-and-inverted-index-store). Set this to limit disk usage spikes during compaction to ~2x the segment size. Default: no limit | `string` | `4GiB` (IEC units), `4GB` (SI units), `4000000000` (bytes) |
diff --git a/docs/weaviate/concepts/storage.md b/docs/weaviate/concepts/storage.md
index f8a4a383c..69112ec0f 100644
--- a/docs/weaviate/concepts/storage.md
+++ b/docs/weaviate/concepts/storage.md
@@ -101,7 +101,7 @@ For the HNSW vector index, the Write-Ahead-Log (WAL) is a critical component for
 
 The entire HNSW index state can be reconstructed by replaying these WAL entries.
 
-For very large indexes of tens or hundreds of millions of objects, this can be time-consuming. To avoid replaying the entire WAL on every restart, Weaviate periodically writes **[HNSW snapshots](../configuration/hnsw-snapshots.md)**.
+For very large indexes of tens or hundreds of millions of objects, this can be time-consuming. To avoid replaying the entire WAL on every restart, Weaviate writes **[HNSW snapshots](../configuration/hnsw-snapshots.md)**.
 
 ### HNSW snapshots
 
@@ -111,20 +111,24 @@ import HnswSnapshots from '/_includes/feature-notes/hnsw-snapshots.mdx';
 
 For very large HNSW vector indexes, HNSW snapshots significantly reduce the startup time.
 
-A snapshot represents a point-in-time state of the HNSW index. When Weaviate starts, if a snapshot exists, it is loaded first, and only the changes made after the snapshot was taken are replayed from the WAL. This significantly reduces startup time, because the number of WAL entries that have to be processed no longer grows with the age of the index.
+A snapshot represents a point-in-time state of the HNSW index. When Weaviate starts, it loads the most recent snapshot and replays only the commit log entries written after it. This significantly reduces startup time, because the number of entries that have to be replayed no longer grows with the age of the index.
 
-The WAL is still used to persist every change immediately, guaranteeing that any acknowledged write is durable. Even with a fresh snapshot, the server typically still has to load at least one subsequent commit log file.
+The commit log still persists every change immediately, guaranteeing that any acknowledged write is durable. Even with a fresh snapshot, the server typically still has to load at least one subsequent commit log file.
 
-Starting in `v1.39`, snapshots are part of how the vector index is stored rather than an optional speedup, and Weaviate manages them automatically. A background compactor owns the on-disk lifecycle of the index: it converts each newly flushed commit log into a sorted file, merges sorted files together, and writes a new snapshot when doing so is worthwhile. Snapshot and commit log files live in the same directory, and a snapshot replaces the files it covers rather than duplicating them, which keeps the disk footprint proportional to the size of the index.
+Starting in `v1.39`, snapshots are part of how the vector index is stored rather than an optional speedup, and Weaviate manages them automatically. A background compactor owns the on-disk lifecycle of the index: it compacts newly flushed commit logs, merges them together, and writes a new snapshot when doing so is worthwhile. Snapshots and commit logs live in the same directory, and a snapshot replaces the commit logs it covers rather than duplicating them, which keeps the disk footprint proportional to the size of the index.
 
 Because the merge reads its inputs as sorted streams from disk, only the most recently flushed commit log is processed in memory. That step has a fixed cost regardless of how large the graph is, so snapshot creation no longer requires enough memory to hold the previous snapshot plus the commit log delta.
 
-Weaviate protects this on-disk state in several ways. New files are written to a temporary path and atomically renamed into place, so an interrupted write can never be mistaken for a complete file, and orphaned temporary files are cleaned up on the next startup. Snapshots are stored in a checksummed block format. If a file cannot be read in full, whether it is a commit log with a torn tail after a crash or a compacted segment damaged on disk, it is truncated back to its last valid entry. The entries written before the damage are retained, and the file becomes valid again so that later compaction can read it. Only the damaged tail is lost, and it is unrecoverable in any case.
+Weaviate protects this on-disk state in several ways. New files are written to a temporary path and atomically renamed into place, so an interrupted write can never be mistaken for a complete file, and orphaned temporary files are cleaned up on the next startup.
+
+Commit logs, including compacted ones, are self-healing. If one cannot be read in full, whether because a crash tore its tail or because the file was damaged on disk, it is truncated back to its last valid entry. The entries written before the damage are retained and the file becomes valid again for later compaction, so only the damaged tail is lost.
+
+Snapshots are handled differently. A snapshot is stored in a checksummed block format, and it is never truncated or repaired. If the current snapshot cannot be read, the affected vector index fails to start rather than loading partial data. Because the commit logs a snapshot covers are deleted once it has been written, nothing remains on the node to replay in its place, so recovering that shard means restoring the data, for example from a [backup](/deploy/configuration/backups.md).
 
 See **[the HNSW snapshots configuration](../configuration/hnsw-snapshots.md)** for version-specific details.
 
-:::note Behavior before `v1.39`
-In `v1.31` through `v1.38`, snapshots are an optional feature layered on top of the commit log, and are configured with the `PERSISTENCE_HNSW_SNAPSHOT_*` environment variables. They are enabled by default starting in `v1.36`, and disabled by default in `v1.31` through `v1.35`. In these versions, Weaviate creates a snapshot at startup if the commit log changed since the last snapshot, and periodically once a configured time interval has passed and enough new commit log data has accumulated. If a snapshot cannot be loaded, it is removed and Weaviate falls back to loading the full commit log from the beginning. In `v1.39` and later, a snapshot that cannot be read is a startup error instead, because the commit logs it covers no longer exist as a separate copy.
+:::note Behavior in `v1.31` through `v1.38`
+In these versions, snapshots are an optional feature layered on top of the commit log, and are configured with the `PERSISTENCE_HNSW_SNAPSHOT_*` environment variables. They are enabled by default starting in `v1.36`, and disabled by default in `v1.31` through `v1.35`. Weaviate creates a snapshot at startup if the commit log changed since the last snapshot, and periodically once a configured time interval has passed and enough new commit log data has accumulated. If a snapshot cannot be loaded, it is removed and Weaviate falls back to loading the full commit log from the beginning.
 :::
 
 ## Conclusions
diff --git a/docs/weaviate/configuration/hnsw-snapshots.md b/docs/weaviate/configuration/hnsw-snapshots.md
index 85479f8d0..ec0f392f7 100644
--- a/docs/weaviate/configuration/hnsw-snapshots.md
+++ b/docs/weaviate/configuration/hnsw-snapshots.md
@@ -21,6 +21,10 @@ Starting in `v1.39`, HNSW snapshots are always enabled and are not configurable.
 
 The commit log compactor owns the on-disk lifecycle of the vector index, and snapshots are one of the file formats it produces. Weaviate creates and maintains them automatically, so there is nothing to enable, disable, schedule, or tune.
 
+:::caution Snapshots are now required to start
+Because a snapshot replaces the commit logs it covers, it is the only copy of the index state up to that point. If the current snapshot cannot be read, the affected vector index fails to start rather than loading partial data, and it cannot be rebuilt from the node's remaining files. Recovering that shard means restoring the data, for example from a [backup](/deploy/configuration/backups.md). In `v1.31` through `v1.38`, an unreadable snapshot is discarded and Weaviate replays the full commit log instead.
+:::
+
 ### Environment variables that no longer have an effect
 
 The following environment variables are still recognized, so existing deployments continue to start without a configuration error. However, they are ignored:
@@ -33,12 +37,12 @@ The following environment variables are still recognized, so existing deployment
 
 If any of these variables is set, Weaviate logs a warning at startup that names the variable and states that it has no effect and will be removed in a future version. Variables that are not set produce no warning. To clear the warnings, remove the variables from your deployment configuration.
 
-Setting the equivalent options in a YAML or JSON configuration file is also accepted and also ignored, but it does not produce a startup warning.
+The same settings in a Weaviate configuration file (`weaviate.conf.json` by default) are accepted and ignored too, but they produce no startup warning.
 
-## Configuring snapshot creation in versions before `v1.39`
+## Configuring snapshot creation in versions before `v1.39` {#pre-v1-39-configuration}
 
-:::note
-This section applies to `v1.31` through `v1.38` only. In `v1.39` and later, the environment variables below are ignored.
+:::note Applies to `v1.31` through `v1.38`
+In `v1.39` and later, the environment variables below are ignored.
 :::
 
 In these versions, HNSW snapshotting is an optional feature layered on top of the commit log, and the following environment variables control it.

From 903ec899926d795eba12cc8c09cb4f5506d2233d Mon Sep 17 00:00:00 2001
From: Ivan Despot <66276597+g-despot@users.noreply.github.com>
Date: Tue, 4 Aug 2026 13:20:33 +0200
Subject: [PATCH 06/35] docs(release-notes): fill the TypeScript client cell
 for the v1.38 row

The 1.38.x compatibility row carried literal "-" placeholders for
TypeScript, Go and C#. TypeScript v3.14.0 (published to npm on
2026-07-17) is the first released client with v1.38 support: its CI
matrix adds WEAVIATE_138 (1.38.2), it ships the Boost query parameter,
and it handles the per-collection asyncEnabled setting that v1.38
removed. Go and C# keep their placeholders: the newest published
releases (go-client v5.7.3, Weaviate.Client 1.1.1) still target v1.37,
and only unreleased main-branch work adds v1.38 support.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01THnwHPggu8hcxb2BTMLLRB
---
 _includes/release-history.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/_includes/release-history.md b/_includes/release-history.md
index d0443dab5..c830af81a 100644
--- a/_includes/release-history.md
+++ b/_includes/release-history.md
@@ -2,7 +2,7 @@ This table lists recent Weaviate Database versions and corresponding client libr
 
 | Weaviate Database <br/><small>([GitHub][cWeaviate])</small>         | First <br/>release date |                  Python <br/><small>([GitHub][cPython])</small>                   |   TypeScript/ <br/>JavaScript <br/><small>([GitHub][cTypeScript])</small>    |                   Go <br/><small>([GitHub][cGo])</small>                    |             Java <br/><small>([GitHub][cJava])</small>              |                   C# <br/><small>([GitHub][cCSharp])</small>                    |
 | :------------------------------------------------------------------ | :---------------------- | :-------------------------------------------------------------------------------: | :--------------------------------------------------------------------------: | :-------------------------------------------------------------------------: | :-----------------------------------------------------------------: | :-----------------------------------------------------------------------------: |
-| [1.38.x](https://github.com/weaviate/weaviate/releases/tag/v1.38.0) | 2026-06-05              | [4.22.x](https://github.com/weaviate/weaviate-python-client/releases/tag/v4.22.0) |                                      -                                       |                                     -                                      | [6.3.0](https://github.com/weaviate/java-client/releases/tag/6.3.0) |                                        -                                        |
+| [1.38.x](https://github.com/weaviate/weaviate/releases/tag/v1.38.0) | 2026-06-05              | [4.22.x](https://github.com/weaviate/weaviate-python-client/releases/tag/v4.22.0) | [3.14.x](https://github.com/weaviate/typescript-client/releases/tag/v3.14.0) |                                     -                                      | [6.3.0](https://github.com/weaviate/java-client/releases/tag/6.3.0) |                                        -                                        |
 | [1.37.x](https://github.com/weaviate/weaviate/releases/tag/v1.37.0) | 2026-04-16              | [4.21.x](https://github.com/weaviate/weaviate-python-client/releases/tag/v4.21.0) | [3.13.x](https://github.com/weaviate/typescript-client/releases/tag/v3.13.0) | [5.7.3](https://github.com/weaviate/weaviate-go-client/releases/tag/v5.7.3) | [6.2.0](https://github.com/weaviate/java-client/releases/tag/6.2.0) |                                       N/A                                       |
 | [1.36.x](https://github.com/weaviate/weaviate/releases/tag/v1.36.0) | 2026-02-24              | [4.20.x](https://github.com/weaviate/weaviate-python-client/releases/tag/v4.20.0) | [3.12.x](https://github.com/weaviate/typescript-client/releases/tag/v3.12.0) | [5.7.x](https://github.com/weaviate/weaviate-go-client/releases/tag/v5.7.0) | [6.1.0](https://github.com/weaviate/java-client/releases/tag/6.1.0) | [1.0.1](https://github.com/weaviate/weaviate-dotnet-client/releases/tag/v1.0.1) |
 | [1.35.x](https://github.com/weaviate/weaviate/releases/tag/v1.35.0) | 2025-12-17              | [4.19.x](https://github.com/weaviate/weaviate-python-client/releases/tag/v4.19.0) | [3.11.x](https://github.com/weaviate/typescript-client/releases/tag/v3.11.0) | [5.6.x](https://github.com/weaviate/weaviate-go-client/releases/tag/v5.6.0) | [6.0.0](https://github.com/weaviate/java-client/releases/tag/6.0.0) | [1.0.0](https://github.com/weaviate/weaviate-dotnet-client/releases/tag/v1.0.0) |

From f1ff2ae7be65a223019ed0a062534aa2290694c2 Mon Sep 17 00:00:00 2001
From: Ivan Despot <66276597+g-despot@users.noreply.github.com>
Date: Tue, 4 Aug 2026 13:35:06 +0200
Subject: [PATCH 07/35] docs(api): document the gRPC-web interface on the REST
 port

Weaviate serves gRPC-web under the /v1/grpc-web/ path prefix on the
existing REST port, so browsers can reach the gRPC API without a second
listener. Enabled by default; toggled at runtime with grpc_web_enabled.

No client library speaks gRPC-web yet, so this states that the interface
exists without implying a supported client path or a runnable example.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01THnwHPggu8hcxb2BTMLLRB
---
 docs/weaviate/api/grpc.md | 11 +++++++++++
 1 file changed, 11 insertions(+)

diff --git a/docs/weaviate/api/grpc.md b/docs/weaviate/api/grpc.md
index 4decc0bda..95d5ac357 100644
--- a/docs/weaviate/api/grpc.md
+++ b/docs/weaviate/api/grpc.md
@@ -46,6 +46,17 @@ services:
   # ... Other settings
 ````
 
+### gRPC-web
+
+:::info Added in `v1.38.3`
+:::
+
+Browsers cannot speak plain gRPC. To reach the gRPC API from a browser, Weaviate also serves a gRPC-web interface over ordinary HTTP. It is served under the `/v1/grpc-web/` path prefix on the same port as the REST API (default `8080`), not on the gRPC port, so there is no second port to expose.
+
+The gRPC-web interface is enabled by default. To turn it off, set the `grpc_web_enabled` [runtime configuration](/deploy/configuration/env-vars/runtime-config.md) override, which takes effect without a restart. While it is disabled, requests under `/v1/grpc-web/` fall through to the REST handler, so the rest of the REST API keeps working as usual.
+
+No Weaviate client library uses this interface yet.
+
 ### Client-side
 
 You can use the gRPC interface through the [Python (`v4` version)](../client-libraries/python/index.mdx) and [TypeScript (`v3` version)](../client-libraries/typescript/index.mdx) client libraries. Other client libraries will also introduce gRPC support in the near future.

From 88ad31d5e78fe14619a3ebdae4864ef4c1c8b8d9 Mon Sep 17 00:00:00 2001
From: Ivan Despot <66276597+g-despot@users.noreply.github.com>
Date: Tue, 4 Aug 2026 13:38:58 +0200
Subject: [PATCH 08/35] docs(cloud): note that gRPC-web uses the REST endpoint
 URL

In Weaviate Cloud the gRPC-web interface is reached through the REST
Endpoint URL rather than the gRPC Endpoint URL, because it is served on
the REST port.

Added to the existing "REST Endpoint vs gRPC Endpoint" admonition on the
connect page, which already owns this distinction. The default cluster
settings page was considered and rejected: it is a table of setting
defaults with no endpoint content.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01THnwHPggu8hcxb2BTMLLRB
---
 docs/cloud/manage-clusters/connect.mdx | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/docs/cloud/manage-clusters/connect.mdx b/docs/cloud/manage-clusters/connect.mdx
index 3af28250b..955f7f775 100644
--- a/docs/cloud/manage-clusters/connect.mdx
+++ b/docs/cloud/manage-clusters/connect.mdx
@@ -80,6 +80,8 @@ If you don't have an existing API key, you'll need to create one. Follow these s
 
 :::note REST Endpoint vs gRPC Endpoint
 When using an official Weaviate [client library](/weaviate/client-libraries), you need to authenticate using the `REST Endpoint` and your API key. The client will infer the gRPC endpoint automatically and use the more performant gRPC protocol when available.
+
+The [gRPC-web interface](/weaviate/api/grpc.md#grpc-web) is reached through the `REST Endpoint` URL, not the `gRPC Endpoint` URL, because it is served on the REST port.
 :::
 
 ### Environment variables

From 645188719c6eea81221ca4c368a3fbe782be763b Mon Sep 17 00:00:00 2001
From: Ivan Despot <66276597+g-despot@users.noreply.github.com>
Date: Tue, 4 Aug 2026 13:39:19 +0200
Subject: [PATCH 09/35] docs(config): list grpc_web_enabled as a
 runtime-config-only override

grpc_web_enabled has no environment variable. Core only ever seeds it
with a default DynamicValue and has no os.LookupEnv branch, unlike
DEBUG_ENDPOINTS_ENABLED, so it can be set only as a runtime override.

- Add the override to the General table with the environment variable
  column marked "not applicable" rather than left blank or invented.
- Soften the page's blanket claim that every runtime configuration
  corresponds to an existing environment variable.
- State on the gRPC API page that there is no environment variable
  equivalent, so readers who know the convention stop looking.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01THnwHPggu8hcxb2BTMLLRB
---
 docs/deploy/configuration/env-vars/runtime-config.md | 5 ++++-
 docs/weaviate/api/grpc.md                            | 2 +-
 2 files changed, 5 insertions(+), 2 deletions(-)

diff --git a/docs/deploy/configuration/env-vars/runtime-config.md b/docs/deploy/configuration/env-vars/runtime-config.md
index 137ead48b..1653add55 100644
--- a/docs/deploy/configuration/env-vars/runtime-config.md
+++ b/docs/deploy/configuration/env-vars/runtime-config.md
@@ -11,7 +11,7 @@ import RuntimeConfig from '/_includes/feature-notes/runtime-config.mdx';
 
 Weaviate supports runtime configuration management, allowing some configurations to be changed without any further restarts.
 
-Each runtime configuration corresponds to an existing environment variable. When a runtime configuration is updated, it overrides the value set by the corresponding environment variable.
+Most runtime configurations correspond to an existing environment variable. When a runtime configuration is updated, it overrides the value set by the corresponding environment variable. A few settings are available only as runtime overrides and have no environment variable equivalent.
 
 ## How to set up runtime configuration
 
@@ -69,6 +69,7 @@ The following overrides are currently supported:
 | `export_default_path`                            | `EXPORT_DEFAULT_PATH`                        |
 | `export_enabled`                                 | `EXPORT_ENABLED`                             |
 | `export_parallelism`                             | `EXPORT_PARALLELISM`                         |
+| `grpc_web_enabled`                               | _(not applicable)_                           |
 | `inverted_sorter_disabled`                       | `INVERTED_SORTER_DISABLED`                   |
 | `maximum_allowed_collections_count`              | `MAXIMUM_ALLOWED_COLLECTIONS_COUNT`          |
 | `objects_ttl_batch_size`                          | `OBJECTS_TTL_BATCH_SIZE`                     |
@@ -85,6 +86,8 @@ The following overrides are currently supported:
 | `tenant_activity_read_log_level`                 | `TENANT_ACTIVITY_READ_LOG_LEVEL`             |
 | `tenant_activity_write_log_level`                | `TENANT_ACTIVITY_WRITE_LOG_LEVEL`            |
 
+`grpc_web_enabled` (added in `v1.38.3`) controls the [gRPC-web interface](/weaviate/api/grpc.md#grpc-web) and has no environment variable equivalent, so it can only be set as a runtime override.
+
 ### Raft settings
 
 | Runtime override name       | Environment variable name   |
diff --git a/docs/weaviate/api/grpc.md b/docs/weaviate/api/grpc.md
index 95d5ac357..2e34f66cf 100644
--- a/docs/weaviate/api/grpc.md
+++ b/docs/weaviate/api/grpc.md
@@ -53,7 +53,7 @@ services:
 
 Browsers cannot speak plain gRPC. To reach the gRPC API from a browser, Weaviate also serves a gRPC-web interface over ordinary HTTP. It is served under the `/v1/grpc-web/` path prefix on the same port as the REST API (default `8080`), not on the gRPC port, so there is no second port to expose.
 
-The gRPC-web interface is enabled by default. To turn it off, set the `grpc_web_enabled` [runtime configuration](/deploy/configuration/env-vars/runtime-config.md) override, which takes effect without a restart. While it is disabled, requests under `/v1/grpc-web/` fall through to the REST handler, so the rest of the REST API keeps working as usual.
+The gRPC-web interface is enabled by default. To turn it off, set the `grpc_web_enabled` [runtime configuration](/deploy/configuration/env-vars/runtime-config.md) override, which takes effect without a restart. There is no environment variable equivalent. While it is disabled, requests under `/v1/grpc-web/` fall through to the REST handler, so the rest of the REST API keeps working as usual.
 
 No Weaviate client library uses this interface yet.
 

From 07d3dfbe1c58b818d2c92401d52a1f11fffbfe30 Mon Sep 17 00:00:00 2001
From: Ivan Despot <66276597+g-despot@users.noreply.github.com>
Date: Tue, 4 Aug 2026 13:48:16 +0200
Subject: [PATCH 10/35] docs: apply editor review to the gRPC-Web mentions

- Use the protocol's own capitalisation, gRPC-Web, in prose. Code-font
  /v1/grpc-web/, grpc_web_enabled and the #grpc-web anchor are unchanged,
  so cross-links still resolve.
- Say to set the override to false rather than leaving the value implied.
- Promote the section to a "## gRPC-Web" sibling so the matched
  Server-side / Client-side pair is no longer split.
- Give the no-environment-variable sentence a subject and attach it to
  the enablement idea.
- Drop the rest/REST collision and the vague antecedent.
- Tie the client-library guard to the browser framing so it cannot be
  misread as contradicting client gRPC support.
- Make the cloud sentence second person, matching its admonition.
- Avoid a third term for the same concept on the runtime-config page.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01THnwHPggu8hcxb2BTMLLRB
---
 docs/cloud/manage-clusters/connect.mdx        |  2 +-
 .../configuration/env-vars/runtime-config.md  |  4 ++--
 docs/weaviate/api/grpc.md                     | 22 +++++++++----------
 3 files changed, 14 insertions(+), 14 deletions(-)

diff --git a/docs/cloud/manage-clusters/connect.mdx b/docs/cloud/manage-clusters/connect.mdx
index 955f7f775..4e0a7d732 100644
--- a/docs/cloud/manage-clusters/connect.mdx
+++ b/docs/cloud/manage-clusters/connect.mdx
@@ -81,7 +81,7 @@ If you don't have an existing API key, you'll need to create one. Follow these s
 :::note REST Endpoint vs gRPC Endpoint
 When using an official Weaviate [client library](/weaviate/client-libraries), you need to authenticate using the `REST Endpoint` and your API key. The client will infer the gRPC endpoint automatically and use the more performant gRPC protocol when available.
 
-The [gRPC-web interface](/weaviate/api/grpc.md#grpc-web) is reached through the `REST Endpoint` URL, not the `gRPC Endpoint` URL, because it is served on the REST port.
+To reach the [gRPC-Web interface](/weaviate/api/grpc.md#grpc-web), use the `REST Endpoint` URL, not the `gRPC Endpoint` URL, because gRPC-Web is served on the REST port.
 :::
 
 ### Environment variables
diff --git a/docs/deploy/configuration/env-vars/runtime-config.md b/docs/deploy/configuration/env-vars/runtime-config.md
index 1653add55..08ae72302 100644
--- a/docs/deploy/configuration/env-vars/runtime-config.md
+++ b/docs/deploy/configuration/env-vars/runtime-config.md
@@ -11,7 +11,7 @@ import RuntimeConfig from '/_includes/feature-notes/runtime-config.mdx';
 
 Weaviate supports runtime configuration management, allowing some configurations to be changed without any further restarts.
 
-Most runtime configurations correspond to an existing environment variable. When a runtime configuration is updated, it overrides the value set by the corresponding environment variable. A few settings are available only as runtime overrides and have no environment variable equivalent.
+Most runtime configurations correspond to an existing environment variable. When a runtime configuration is updated, it overrides the value set by the corresponding environment variable. A few runtime configurations are available only as overrides and have no environment variable equivalent.
 
 ## How to set up runtime configuration
 
@@ -86,7 +86,7 @@ The following overrides are currently supported:
 | `tenant_activity_read_log_level`                 | `TENANT_ACTIVITY_READ_LOG_LEVEL`             |
 | `tenant_activity_write_log_level`                | `TENANT_ACTIVITY_WRITE_LOG_LEVEL`            |
 
-`grpc_web_enabled` (added in `v1.38.3`) controls the [gRPC-web interface](/weaviate/api/grpc.md#grpc-web) and has no environment variable equivalent, so it can only be set as a runtime override.
+`grpc_web_enabled` (added in `v1.38.3`) controls the [gRPC-Web interface](/weaviate/api/grpc.md#grpc-web) and has no environment variable equivalent, so it can only be set as a runtime override.
 
 ### Raft settings
 
diff --git a/docs/weaviate/api/grpc.md b/docs/weaviate/api/grpc.md
index 2e34f66cf..23e7e1354 100644
--- a/docs/weaviate/api/grpc.md
+++ b/docs/weaviate/api/grpc.md
@@ -46,17 +46,6 @@ services:
   # ... Other settings
 ````
 
-### gRPC-web
-
-:::info Added in `v1.38.3`
-:::
-
-Browsers cannot speak plain gRPC. To reach the gRPC API from a browser, Weaviate also serves a gRPC-web interface over ordinary HTTP. It is served under the `/v1/grpc-web/` path prefix on the same port as the REST API (default `8080`), not on the gRPC port, so there is no second port to expose.
-
-The gRPC-web interface is enabled by default. To turn it off, set the `grpc_web_enabled` [runtime configuration](/deploy/configuration/env-vars/runtime-config.md) override, which takes effect without a restart. There is no environment variable equivalent. While it is disabled, requests under `/v1/grpc-web/` fall through to the REST handler, so the rest of the REST API keeps working as usual.
-
-No Weaviate client library uses this interface yet.
-
 ### Client-side
 
 You can use the gRPC interface through the [Python (`v4` version)](../client-libraries/python/index.mdx) and [TypeScript (`v3` version)](../client-libraries/typescript/index.mdx) client libraries. Other client libraries will also introduce gRPC support in the near future.
@@ -66,6 +55,17 @@ Alternatively, you can use other tools, such as the `grpcurl` command-line tool,
 - `grpcurl` command-line tool ([GitHub repo](https://github.com/fullstorydev/grpcurl))
 - Postman ([How to send a gRPC request with Postman](https://learning.postman.com/docs/sending-requests/grpc/grpc-request-interface/))
 
+## gRPC-Web
+
+:::info Added in `v1.38.3`
+:::
+
+Browsers cannot speak plain gRPC. To reach the gRPC API from a browser, Weaviate also serves a gRPC-Web interface over ordinary HTTP. It is served under the `/v1/grpc-web/` path prefix on the same port as the REST API (default `8080`), not on the gRPC port, so there is no second port to expose.
+
+The gRPC-Web interface is enabled by default. To turn it off, set the `grpc_web_enabled` [runtime configuration](/deploy/configuration/env-vars/runtime-config.md) override to `false`, which takes effect without a restart. This setting has no environment variable equivalent. When the interface is disabled, requests to `/v1/grpc-web/` fall through to the REST handler, so other REST endpoints keep working as usual.
+
+The Weaviate client libraries connect over plain gRPC, so they do not use the gRPC-Web interface yet.
+
 ## Questions and feedback
 
 import DocsFeedback from "/\_includes/docs-feedback.mdx";

From 8090da971c9054e8606b84cad061b04e09ae1b9b Mon Sep 17 00:00:00 2001
From: Ivan Despot <66276597+g-despot@users.noreply.github.com>
Date: Tue, 4 Aug 2026 15:30:25 +0200
Subject: [PATCH 11/35] docs: cover both gRPC-Web toggle surfaces and their
 casing split

The interface can be turned off in two places, and core spells the key
differently in each: grpc.grpcWebEnabled in the static configuration
file, grpc_web_enabled as a runtime override. Present them as a short
list so the camelCase/snake_case split cannot be skimmed past.

Also correct the runtime-config note, which claimed the setting could
only be set as a runtime override. That is now false. The separate
"no environment variable equivalent" statement stands: a configuration
file field is not an environment variable.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01THnwHPggu8hcxb2BTMLLRB
---
 docs/deploy/configuration/env-vars/runtime-config.md | 2 +-
 docs/weaviate/api/grpc.md                            | 7 ++++++-
 2 files changed, 7 insertions(+), 2 deletions(-)

diff --git a/docs/deploy/configuration/env-vars/runtime-config.md b/docs/deploy/configuration/env-vars/runtime-config.md
index 08ae72302..b74253cc6 100644
--- a/docs/deploy/configuration/env-vars/runtime-config.md
+++ b/docs/deploy/configuration/env-vars/runtime-config.md
@@ -86,7 +86,7 @@ The following overrides are currently supported:
 | `tenant_activity_read_log_level`                 | `TENANT_ACTIVITY_READ_LOG_LEVEL`             |
 | `tenant_activity_write_log_level`                | `TENANT_ACTIVITY_WRITE_LOG_LEVEL`            |
 
-`grpc_web_enabled` (added in `v1.38.3`) controls the [gRPC-Web interface](/weaviate/api/grpc.md#grpc-web) and has no environment variable equivalent, so it can only be set as a runtime override.
+`grpc_web_enabled` (added in `v1.38.3`) controls the [gRPC-Web interface](/weaviate/api/grpc.md#grpc-web) and has no environment variable equivalent. In the static configuration file the same setting is spelled `grpc.grpcWebEnabled`, in camelCase.
 
 ### Raft settings
 
diff --git a/docs/weaviate/api/grpc.md b/docs/weaviate/api/grpc.md
index 23e7e1354..855c12a3d 100644
--- a/docs/weaviate/api/grpc.md
+++ b/docs/weaviate/api/grpc.md
@@ -62,7 +62,12 @@ Alternatively, you can use other tools, such as the `grpcurl` command-line tool,
 
 Browsers cannot speak plain gRPC. To reach the gRPC API from a browser, Weaviate also serves a gRPC-Web interface over ordinary HTTP. It is served under the `/v1/grpc-web/` path prefix on the same port as the REST API (default `8080`), not on the gRPC port, so there is no second port to expose.
 
-The gRPC-Web interface is enabled by default. To turn it off, set the `grpc_web_enabled` [runtime configuration](/deploy/configuration/env-vars/runtime-config.md) override to `false`, which takes effect without a restart. This setting has no environment variable equivalent. When the interface is disabled, requests to `/v1/grpc-web/` fall through to the REST handler, so other REST endpoints keep working as usual.
+The gRPC-Web interface is enabled by default. It can be turned off in two places, and the key is spelled differently in each:
+
+- **Static configuration file:** set `grpc.grpcWebEnabled` to `false`. Note the camelCase.
+- **[Runtime configuration](/deploy/configuration/env-vars/runtime-config.md) override:** set `grpc_web_enabled` to `false`. Note the snake_case. This takes effect without a restart.
+
+This setting has no environment variable equivalent. When the interface is disabled, requests to `/v1/grpc-web/` fall through to the REST handler, so other REST endpoints keep working as usual.
 
 The Weaviate client libraries connect over plain gRPC, so they do not use the gRPC-Web interface yet.
 

From 725373f762ef644b70b1ea5ebfb441e8c0560297 Mon Sep 17 00:00:00 2001
From: Ivan Despot <66276597+g-despot@users.noreply.github.com>
Date: Tue, 4 Aug 2026 15:48:49 +0200
Subject: [PATCH 12/35] Update descriptions

---
 docs/deploy/configuration/env-vars/runtime-config.md | 4 +---
 docs/weaviate/api/grpc.md                            | 5 +----
 2 files changed, 2 insertions(+), 7 deletions(-)

diff --git a/docs/deploy/configuration/env-vars/runtime-config.md b/docs/deploy/configuration/env-vars/runtime-config.md
index b74253cc6..f59609fdf 100644
--- a/docs/deploy/configuration/env-vars/runtime-config.md
+++ b/docs/deploy/configuration/env-vars/runtime-config.md
@@ -11,7 +11,7 @@ import RuntimeConfig from '/_includes/feature-notes/runtime-config.mdx';
 
 Weaviate supports runtime configuration management, allowing some configurations to be changed without any further restarts.
 
-Most runtime configurations correspond to an existing environment variable. When a runtime configuration is updated, it overrides the value set by the corresponding environment variable. A few runtime configurations are available only as overrides and have no environment variable equivalent.
+Most runtime configurations correspond to an existing environment variable. When a runtime configuration is updated, it overrides the value set by the corresponding environment variable.
 
 ## How to set up runtime configuration
 
@@ -86,8 +86,6 @@ The following overrides are currently supported:
 | `tenant_activity_read_log_level`                 | `TENANT_ACTIVITY_READ_LOG_LEVEL`             |
 | `tenant_activity_write_log_level`                | `TENANT_ACTIVITY_WRITE_LOG_LEVEL`            |
 
-`grpc_web_enabled` (added in `v1.38.3`) controls the [gRPC-Web interface](/weaviate/api/grpc.md#grpc-web) and has no environment variable equivalent. In the static configuration file the same setting is spelled `grpc.grpcWebEnabled`, in camelCase.
-
 ### Raft settings
 
 | Runtime override name       | Environment variable name   |
diff --git a/docs/weaviate/api/grpc.md b/docs/weaviate/api/grpc.md
index 855c12a3d..ee400aec6 100644
--- a/docs/weaviate/api/grpc.md
+++ b/docs/weaviate/api/grpc.md
@@ -62,10 +62,7 @@ Alternatively, you can use other tools, such as the `grpcurl` command-line tool,
 
 Browsers cannot speak plain gRPC. To reach the gRPC API from a browser, Weaviate also serves a gRPC-Web interface over ordinary HTTP. It is served under the `/v1/grpc-web/` path prefix on the same port as the REST API (default `8080`), not on the gRPC port, so there is no second port to expose.
 
-The gRPC-Web interface is enabled by default. It can be turned off in two places, and the key is spelled differently in each:
-
-- **Static configuration file:** set `grpc.grpcWebEnabled` to `false`. Note the camelCase.
-- **[Runtime configuration](/deploy/configuration/env-vars/runtime-config.md) override:** set `grpc_web_enabled` to `false`. Note the snake_case. This takes effect without a restart.
+The gRPC-Web interface is enabled by default. **[Runtime configuration](/deploy/configuration/env-vars/runtime-config.md) override:** set `grpc_web_enabled` to `false`. Note the snake_case. This takes effect without a restart.
 
 This setting has no environment variable equivalent. When the interface is disabled, requests to `/v1/grpc-web/` fall through to the REST handler, so other REST endpoints keep working as usual.
 

From 25c66411734cf89796b4f8a6950807595bdf513d Mon Sep 17 00:00:00 2001
From: Ivan Despot <66276597+g-despot@users.noreply.github.com>
Date: Tue, 4 Aug 2026 17:51:32 +0200
Subject: [PATCH 13/35] docs: fold HNSW snapshots into concepts/storage for
 v1.39

Review feedback on #475 was that the page reads as too alarmist and
documents too much of the pre-v1.39 approach. Since v1.39 leaves nothing
to configure, the standalone page no longer earns its own URL: its
content moves into the storage concepts page and the per-variable
reference stays in the env-vars table, which already carried all five
variables in full.

- Drop the "snapshots are now required to start" caution in favour of
  plain prose: checksummed blocks, the write-then-delete ordering, and
  the commit logs on disk being the delta since the last snapshot.
- Correct the failure radius. An unreadable snapshot fails the whole
  shard, not just one vector index. Lazy-loaded shards leave the node up
  and error per request; eagerly loaded shards fail node startup, and
  eager is the default for single-tenant collections.
- Note the disk-usage reduction on upgrade, attributed to the snapshot
  replacing the logs it covers rather than to a new snapshot format --
  the V3 format predates v1.39. Scope it to loaded shards after the
  compactor's first cycles, and keep the headroom caveat, since peak
  usage still rises while a snapshot is written.
- Delete the deprecated-env-var section, keeping the two facts that
  lived nowhere else: the variables are still recognised but ignored,
  and the equivalent camelCase fields in a --config-file are accepted
  silently, with no startup warning.
- Collapse the pre-v1.39 configuration detail behind a <details>, with
  the anchor on the heading above it. Docusaurus's Details component has
  no hashchange handling, so an anchor inside would strand the five
  inbound env-var links on a collapsed summary.
- Redirect the old path to the concepts anchor; the v1.31 release blog
  and a live kapa answer both cite it.

Also fixes the long-standing broken anchor on the vector-cache env var:
APITable row ids are the variable name verbatim, so the link needs
upper case.
---
 docs/deploy/configuration/env-vars/index.md   | 10 +--
 docs/deploy/configuration/persistence.md      |  1 +
 docs/weaviate/concepts/storage.md             | 41 ++++++---
 docs/weaviate/configuration/hnsw-snapshots.md | 89 -------------------
 docs/weaviate/configuration/index.mdx         |  7 --
 netlify.toml                                  |  5 ++
 sidebars.js                                   |  1 -
 7 files changed, 40 insertions(+), 114 deletions(-)
 delete mode 100644 docs/weaviate/configuration/hnsw-snapshots.md

diff --git a/docs/deploy/configuration/env-vars/index.md b/docs/deploy/configuration/env-vars/index.md
index 74f83efef..703178285 100644
--- a/docs/deploy/configuration/env-vars/index.md
+++ b/docs/deploy/configuration/env-vars/index.md
@@ -83,11 +83,11 @@ import APITable from '@site/src/components/APITable';
 | `OPERATIONAL_MODE` | Sets the [mode of operation](../status.md#operational-modes) for the instance. Options: `READ_WRITE` (default), `READ_ONLY`, `WRITE_ONLY`, `SCALE_OUT`. Limits available operations based on the mode selected. | `string` | `READ_WRITE` |
 | `ORIGIN` | Set the http(s) origin for Weaviate | `string - HTTP origin` | `https://my-weaviate-deployment.com` |
 | `PERSISTENCE_DATA_PATH` | Path to the Weaviate data store.<br/>[Note about file systems and performance](/weaviate/concepts/resources.md#file-system). | `string - file path` | `/var/lib/weaviate` <br/> Defaults to `./data`|
-| `PERSISTENCE_HNSW_DISABLE_SNAPSHOTS` | **Deprecated in `v1.39`.** Ignored, and logs a startup warning. [In `v1.31` through `v1.38`](/weaviate/configuration/hnsw-snapshots.md#pre-v1-39-configuration): if set, HNSW snapshotting will be disabled. Default: `false` (enabled) as of `v1.36`; `true` (disabled) in `v1.31` through `v1.35`<br/>Added in `v1.31` | `boolean` | `false` |
-| `PERSISTENCE_HNSW_SNAPSHOT_INTERVAL_SECONDS` | **Deprecated in `v1.39`.** Ignored, and logs a startup warning. [In `v1.31` through `v1.38`](/weaviate/configuration/hnsw-snapshots.md#pre-v1-39-configuration): the minimum time in seconds that must pass before the next snapshot is created. Default: `21600` seconds (6 hours)<br/>Added in `v1.31` | `string - number` | `3600` |
-| `PERSISTENCE_HNSW_SNAPSHOT_MIN_DELTA_COMMITLOGS_NUMBER` | **Deprecated in `v1.39`.** Ignored, and logs a startup warning. [In `v1.31` through `v1.38`](/weaviate/configuration/hnsw-snapshots.md#pre-v1-39-configuration): the minimum number of new commit log files created since the last snapshot. Default: `1`<br/>Added in `v1.31` | `string - number` | `100` |
-| `PERSISTENCE_HNSW_SNAPSHOT_MIN_DELTA_COMMITLOGS_SIZE_PERCENTAGE` | **Deprecated in `v1.39`.** Ignored, and logs a startup warning. [In `v1.31` through `v1.38`](/weaviate/configuration/hnsw-snapshots.md#pre-v1-39-configuration): the minimum total size of new commit logs (as a percentage of the previous snapshot's size) required to trigger a new snapshot. Default: `5` (meaning 5% of the previous snapshot's size in new commit logs)<br/>Added in `v1.31` | `string - number` | `15` |
-| `PERSISTENCE_HNSW_SNAPSHOT_ON_STARTUP` | **Deprecated in `v1.39`.** Ignored, and logs a startup warning. [In `v1.31` through `v1.38`](/weaviate/configuration/hnsw-snapshots.md#pre-v1-39-configuration): if set, Weaviate will try to create a new snapshot during startup if there are changes in the commit log since the last snapshot. If there are no changes, then the existing snapshot will be loaded. Default: `true`<br/>Added in `v1.31` | `boolean` | `false` |
+| `PERSISTENCE_HNSW_DISABLE_SNAPSHOTS` | **Deprecated in `v1.39`.** Ignored, and logs a startup warning. In `v1.31` through `v1.38`: if set, HNSW snapshotting is disabled. Default: `false` (enabled) as of `v1.36`; `true` (disabled) in `v1.31` through `v1.35`. See [snapshot configuration before `v1.39`](/weaviate/concepts/storage.md#pre-v1-39-configuration). <br/>Added in `v1.31` | `boolean` | `false` |
+| `PERSISTENCE_HNSW_SNAPSHOT_INTERVAL_SECONDS` | **Deprecated in `v1.39`.** Ignored, and logs a startup warning. In `v1.31` through `v1.38`: the minimum time in seconds that must pass before the next snapshot is created. Default: `21600` seconds (6 hours). See [snapshot configuration before `v1.39`](/weaviate/concepts/storage.md#pre-v1-39-configuration). <br/>Added in `v1.31` | `string - number` | `3600` |
+| `PERSISTENCE_HNSW_SNAPSHOT_MIN_DELTA_COMMITLOGS_NUMBER` | **Deprecated in `v1.39`.** Ignored, and logs a startup warning. In `v1.31` through `v1.38`: the minimum number of new commit log files created since the last snapshot. Default: `1`. See [snapshot configuration before `v1.39`](/weaviate/concepts/storage.md#pre-v1-39-configuration). <br/>Added in `v1.31` | `string - number` | `100` |
+| `PERSISTENCE_HNSW_SNAPSHOT_MIN_DELTA_COMMITLOGS_SIZE_PERCENTAGE` | **Deprecated in `v1.39`.** Ignored, and logs a startup warning. In `v1.31` through `v1.38`: the minimum total size of new commit logs (as a percentage of the previous snapshot's size) required to trigger a new snapshot. Default: `5` (meaning 5% of the previous snapshot's size in new commit logs). See [snapshot configuration before `v1.39`](/weaviate/concepts/storage.md#pre-v1-39-configuration). <br/>Added in `v1.31` | `string - number` | `15` |
+| `PERSISTENCE_HNSW_SNAPSHOT_ON_STARTUP` | **Deprecated in `v1.39`.** Ignored, and logs a startup warning. In `v1.31` through `v1.38`: if set, Weaviate tries to create a new snapshot during startup if there are changes in the commit log since the last snapshot. If there are no changes, the existing snapshot is loaded. Default: `true`. See [snapshot configuration before `v1.39`](/weaviate/concepts/storage.md#pre-v1-39-configuration). <br/>Added in `v1.31` | `boolean` | `false` |
 | `PERSISTENCE_HNSW_MAX_LOG_SIZE` | Maximum size of the HNSW [write-ahead-log](/weaviate/concepts/storage.md#hnsw-vector-index-storage). Increase this to improve log compaction efficiency, or decrease to reduce memory requirements. Default: 500MiB | `string` | `4GiB` (IEC units), `4GB` (SI units), `4000000000` (bytes) |
 | `PERSISTENCE_LSM_ACCESS_STRATEGY` | Function used to access disk data in virtual memory. Default: `mmap` | `string` | `mmap` or `pread` |
 | `PERSISTENCE_LSM_MAX_SEGMENT_SIZE` | Maximum size of a segment in the [LSM store](/weaviate/concepts/storage.md#object-and-inverted-index-store). Set this to limit disk usage spikes during compaction to ~2x the segment size. Default: no limit | `string` | `4GiB` (IEC units), `4GB` (SI units), `4000000000` (bytes) |
diff --git a/docs/deploy/configuration/persistence.md b/docs/deploy/configuration/persistence.md
index e503b049e..074904dcb 100644
--- a/docs/deploy/configuration/persistence.md
+++ b/docs/deploy/configuration/persistence.md
@@ -107,6 +107,7 @@ You can configure automatic deletion of objects after a specified time period us
 
 ## Related pages
 - [Configuration: Backups](/deploy/configuration/backups.md)
+- [Concepts: Storage - HNSW snapshots](/weaviate/concepts/storage.md#hnsw-snapshots)
 
 ## Questions and feedback
 
diff --git a/docs/weaviate/concepts/storage.md b/docs/weaviate/concepts/storage.md
index 69112ec0f..b358a4705 100644
--- a/docs/weaviate/concepts/storage.md
+++ b/docs/weaviate/concepts/storage.md
@@ -1,7 +1,7 @@
 ---
 title: Storage
 sidebar_position: 18
-description: "Persistent, fault-tolerant storage architecture for objects, vectors, and inverted index management."
+description: "Persistent, fault-tolerant storage architecture for objects, vectors, and inverted index management, including HNSW snapshots and commit log compaction."
 image: og/docs/concepts.jpg
 # tags: ['architecture', 'storage']
 ---
@@ -79,7 +79,7 @@ This change improves reliability during rolling restarts and upgrades. Eager loa
 
 #### Vector cache prefill behavior
 
-The [`HNSW_STARTUP_WAIT_FOR_VECTOR_CACHE`](/deploy/configuration/env-vars#hnsw_startup_wait_for_vector_cache) environment variable controls whether vector cache prefill is synchronous (blocking) or asynchronous (background) at startup. Its default changed to `true` in v1.36.6.
+The [`HNSW_STARTUP_WAIT_FOR_VECTOR_CACHE`](/deploy/configuration/env-vars#HNSW_STARTUP_WAIT_FOR_VECTOR_CACHE) environment variable controls whether vector cache prefill is synchronous (blocking) or asynchronous (background) at startup. Its default changed to `true` in v1.36.6.
 
 For collections where lazy shard loading is active, vector cache prefill is always **asynchronous** — the `HNSW_STARTUP_WAIT_FOR_VECTOR_CACHE` value is overridden to `false` regardless of the configured value. For eagerly-loaded collections, the configured value applies (default: `true`, meaning synchronous prefill).
 
@@ -101,7 +101,7 @@ For the HNSW vector index, the Write-Ahead-Log (WAL) is a critical component for
 
 The entire HNSW index state can be reconstructed by replaying these WAL entries.
 
-For very large indexes of tens or hundreds of millions of objects, this can be time-consuming. To avoid replaying the entire WAL on every restart, Weaviate writes **[HNSW snapshots](../configuration/hnsw-snapshots.md)**.
+For very large indexes of tens or hundreds of millions of objects, this can be time-consuming. To avoid replaying the entire commit log on every restart, Weaviate writes **[HNSW snapshots](#hnsw-snapshots)**.
 
 ### HNSW snapshots
 
@@ -109,27 +109,44 @@ import HnswSnapshots from '/_includes/feature-notes/hnsw-snapshots.mdx';
 
 <HnswSnapshots/>
 
-For very large HNSW vector indexes, HNSW snapshots significantly reduce the startup time.
-
 A snapshot represents a point-in-time state of the HNSW index. When Weaviate starts, it loads the most recent snapshot and replays only the commit log entries written after it. This significantly reduces startup time, because the number of entries that have to be replayed no longer grows with the age of the index.
 
 The commit log still persists every change immediately, guaranteeing that any acknowledged write is durable. Even with a fresh snapshot, the server typically still has to load at least one subsequent commit log file.
 
-Starting in `v1.39`, snapshots are part of how the vector index is stored rather than an optional speedup, and Weaviate manages them automatically. A background compactor owns the on-disk lifecycle of the index: it compacts newly flushed commit logs, merges them together, and writes a new snapshot when doing so is worthwhile. Snapshots and commit logs live in the same directory, and a snapshot replaces the commit logs it covers rather than duplicating them, which keeps the disk footprint proportional to the size of the index.
+Starting in `v1.39`, snapshots are part of how the vector index is stored rather than an optional speedup. A background process called the commit log compactor owns the on-disk lifecycle of the index: it compacts newly flushed commit logs, merges them together, and writes a new snapshot when doing so is worthwhile. Snapshots and commit logs live in the same directory, and a snapshot replaces the commit logs it covers rather than duplicating them, which keeps the disk footprint proportional to the size of the index.
+
+Upgrading to `v1.39` therefore reduces the disk space the vector index uses, in some cases substantially. Earlier versions keep the full commit log alongside the snapshot, and a snapshot is a more compact representation of the same index than the commit logs it replaces, because compaction keeps only the final state of each vector's connections instead of every change made to them.
+
+Two caveats apply. The saving appears once the compactor has run its first cycles on each loaded shard rather than at the moment you upgrade, and inactive tenants do not shrink until they are next activated. Keep planning for the same headroom as before, because peak disk usage still rises while a snapshot is being written.
 
 Because the merge reads its inputs as sorted streams from disk, only the most recently flushed commit log is processed in memory. That step has a fixed cost regardless of how large the graph is, so snapshot creation no longer requires enough memory to hold the previous snapshot plus the commit log delta.
 
 Weaviate protects this on-disk state in several ways. New files are written to a temporary path and atomically renamed into place, so an interrupted write can never be mistaken for a complete file, and orphaned temporary files are cleaned up on the next startup.
 
-Commit logs, including compacted ones, are self-healing. If one cannot be read in full, whether because a crash tore its tail or because the file was damaged on disk, it is truncated back to its last valid entry. The entries written before the damage are retained and the file becomes valid again for later compaction, so only the damaged tail is lost.
+Commit logs, including compacted ones, are self-healing. If one cannot be read in full, whether because a crash cut it short or because the file was damaged on disk, it is truncated back to its last valid entry. The entries written before the damage are retained and the file becomes valid again for later compaction, so only the damaged tail is lost.
 
-Snapshots are handled differently. A snapshot is stored in a checksummed block format, and it is never truncated or repaired. If the current snapshot cannot be read, the affected vector index fails to start rather than loading partial data. Because the commit logs a snapshot covers are deleted once it has been written, nothing remains on the node to replay in its place, so recovering that shard means restoring the data, for example from a [backup](/deploy/configuration/backups.md).
+Snapshots are handled differently. A snapshot is stored in a checksummed block format and every block is verified when it is read, but unlike a commit log, a snapshot is not truncated or repaired.
 
-See **[the HNSW snapshots configuration](../configuration/hnsw-snapshots.md)** for version-specific details.
+If the current snapshot cannot be read, Weaviate does not load a partial index. The shard that owns the snapshot fails to load, and so does every other vector index on that shard. Because the commit logs a snapshot covers are deleted once the snapshot has been written, the index cannot be rebuilt from the node's remaining files. If that shard uses [dynamic lazy shard loading](#dynamic-lazy-shard-loading), the node stays up and requests to the shard return an error. If the shard is loaded eagerly, which is the default for single-tenant collections and for multi-tenant collections below the auto-detection thresholds, node startup fails instead. Restore the affected data from a [backup](/deploy/configuration/backups.md), which includes the snapshot.
 
-:::note Behavior in `v1.31` through `v1.38`
-In these versions, snapshots are an optional feature layered on top of the commit log, and are configured with the `PERSISTENCE_HNSW_SNAPSHOT_*` environment variables. They are enabled by default starting in `v1.36`, and disabled by default in `v1.31` through `v1.35`. Weaviate creates a snapshot at startup if the commit log changed since the last snapshot, and periodically once a configured time interval has passed and enough new commit log data has accumulated. If a snapshot cannot be loaded, it is removed and Weaviate falls back to loading the full commit log from the beginning.
-:::
+The environment variables that configured snapshots before `v1.39` are deprecated. That version and later still recognize `PERSISTENCE_HNSW_DISABLE_SNAPSHOTS` and the `PERSISTENCE_HNSW_SNAPSHOT_*` variables, so an existing deployment starts without a configuration error, but their values are ignored. For each of these variables that is set, Weaviate logs a warning at startup stating that the variable has no effect and will be removed in a future version; variables that are not set produce no warning. If your deployment passes a configuration file with `--config-file` (`weaviate.conf.json` by default), the equivalent camelCase fields in that file, such as `hnswDisableSnapshots`, are accepted and ignored as well, and unlike the environment variables they produce no startup warning. Remove the variables from your deployment configuration, and the equivalent fields from any configuration file, to clear the warnings.
+
+#### Snapshot configuration before `v1.39` {#pre-v1-39-configuration}
+
+In `v1.31` through `v1.38`, snapshots are an optional feature layered on top of the commit log rather than part of it, and the `PERSISTENCE_HNSW_SNAPSHOT_*` environment variables control when Weaviate creates them. Snapshots are enabled by default starting in `v1.36`, and disabled by default in `v1.31` through `v1.35`. Weaviate creates one at startup if the commit log changed since the last snapshot, and periodically thereafter. If a snapshot cannot be read in these versions, it is discarded and Weaviate replays the full commit log instead. For the variables themselves, including their defaults and deprecation status, see [`PERSISTENCE_HNSW_DISABLE_SNAPSHOTS`](/deploy/configuration/env-vars/index.md#PERSISTENCE_HNSW_DISABLE_SNAPSHOTS) and the rows that follow it.
+
+<details>
+  <summary>Periodic snapshot conditions and memory requirements</summary>
+
+Periodic snapshot creation is governed by three variables, and **all** of the following conditions must be met before Weaviate creates a snapshot:
+
+- `PERSISTENCE_HNSW_SNAPSHOT_INTERVAL_SECONDS` — the minimum time since the previous snapshot has elapsed.
+- `PERSISTENCE_HNSW_SNAPSHOT_MIN_DELTA_COMMITLOGS_NUMBER` — enough new commit log files have been created since the last snapshot.
+- `PERSISTENCE_HNSW_SNAPSHOT_MIN_DELTA_COMMITLOGS_SIZE_PERCENTAGE` — the new commit logs are large enough, measured as a percentage of the previous snapshot's size.
+
+Before creating a new snapshot, Weaviate loads the previous snapshot and the commit log difference into memory, so the node needs enough memory to accommodate both. This requirement does not apply in `v1.39` and later, where the merge streams its inputs from disk.
+
+</details>
 
 ## Conclusions
 
diff --git a/docs/weaviate/configuration/hnsw-snapshots.md b/docs/weaviate/configuration/hnsw-snapshots.md
deleted file mode 100644
index ec0f392f7..000000000
--- a/docs/weaviate/configuration/hnsw-snapshots.md
+++ /dev/null
@@ -1,89 +0,0 @@
----
-title: HNSW Snapshots
-sidebar_position: 47
-sidebar_label: HNSW Snapshots
-description: Learn how Weaviate uses HNSW snapshots for faster startup times, and how they were configured in versions before v1.39.
----
-
-import HnswSnapshots from '/_includes/feature-notes/hnsw-snapshots.mdx';
-
-<HnswSnapshots/>
-
-HNSW (Hierarchical Navigable Small World) snapshots significantly reduce startup times for instances with large vector indexes.
-
-:::info Concepts: HNSW snapshots
-See this [concepts page](../concepts/storage.md#hnsw-snapshots) for a detailed description.
-:::
-
-## Snapshots in `v1.39` and later
-
-Starting in `v1.39`, HNSW snapshots are always enabled and are not configurable.
-
-The commit log compactor owns the on-disk lifecycle of the vector index, and snapshots are one of the file formats it produces. Weaviate creates and maintains them automatically, so there is nothing to enable, disable, schedule, or tune.
-
-:::caution Snapshots are now required to start
-Because a snapshot replaces the commit logs it covers, it is the only copy of the index state up to that point. If the current snapshot cannot be read, the affected vector index fails to start rather than loading partial data, and it cannot be rebuilt from the node's remaining files. Recovering that shard means restoring the data, for example from a [backup](/deploy/configuration/backups.md). In `v1.31` through `v1.38`, an unreadable snapshot is discarded and Weaviate replays the full commit log instead.
-:::
-
-### Environment variables that no longer have an effect
-
-The following environment variables are still recognized, so existing deployments continue to start without a configuration error. However, they are ignored:
-
-- `PERSISTENCE_HNSW_DISABLE_SNAPSHOTS`
-- `PERSISTENCE_HNSW_SNAPSHOT_INTERVAL_SECONDS`
-- `PERSISTENCE_HNSW_SNAPSHOT_ON_STARTUP`
-- `PERSISTENCE_HNSW_SNAPSHOT_MIN_DELTA_COMMITLOGS_NUMBER`
-- `PERSISTENCE_HNSW_SNAPSHOT_MIN_DELTA_COMMITLOGS_SIZE_PERCENTAGE`
-
-If any of these variables is set, Weaviate logs a warning at startup that names the variable and states that it has no effect and will be removed in a future version. Variables that are not set produce no warning. To clear the warnings, remove the variables from your deployment configuration.
-
-The same settings in a Weaviate configuration file (`weaviate.conf.json` by default) are accepted and ignored too, but they produce no startup warning.
-
-## Configuring snapshot creation in versions before `v1.39` {#pre-v1-39-configuration}
-
-:::note Applies to `v1.31` through `v1.38`
-In `v1.39` and later, the environment variables below are ignored.
-:::
-
-In these versions, HNSW snapshotting is an optional feature layered on top of the commit log, and the following environment variables control it.
-
-HNSW snapshotting is **enabled by default** starting in `v1.36`. To disable it, set `PERSISTENCE_HNSW_DISABLE_SNAPSHOTS` to `true`. In versions prior to `v1.36`, HNSW snapshotting is disabled by default. Set `PERSISTENCE_HNSW_DISABLE_SNAPSHOTS` to `false` to enable it.
-
-:::note
-Before creating a new snapshot, the previous snapshot and the commit log difference need to be loaded into memory. Make sure you have enough memory to accommodate this process. This requirement does not apply in `v1.39` and later, where snapshots are merged from disk as a stream.
-:::
-
-### Snapshot on startup
-
-Enable or disable snapshot creation on startup:
-
-- `PERSISTENCE_HNSW_SNAPSHOT_ON_STARTUP`: If `true`, Weaviate will try to create a new snapshot during startup if there are changes in the commit log since the last snapshot. If there are no changes, then the existing snapshot will be loaded.
-  - **Default:** `true`
-
-### Periodic snapshots
-
-Set the following to configure periodic snapshot creation. Note **all** of the following conditions must be met to trigger a snapshot:
-
-1.  **A time interval has passed:**
-
-    - `PERSISTENCE_HNSW_SNAPSHOT_INTERVAL_SECONDS`: The minimum time in seconds since the previous snapshot.
-      - **Default:** `21600` seconds (6 hours)
-
-2.  **Sufficient new commit logs (by number):**
-
-    - `PERSISTENCE_HNSW_SNAPSHOT_MIN_DELTA_COMMITLOGS_NUMBER`: The minimum number of new commit log files created since the last snapshot.
-      - **Default:** `1`
-
-3.  **Sufficient new commit logs (by size percentage):**
-    - `PERSISTENCE_HNSW_SNAPSHOT_MIN_DELTA_COMMITLOGS_SIZE_PERCENTAGE`: The minimum total size of new commit logs (as a percentage of the previous snapshot's size) required to trigger a new snapshot.
-      - **Default:** `5` (meaning 5% of the previous snapshot's size in new commit logs). For example, if the previous snapshot was 1000MB, at least 50MB of new commit log data is required.
-
-## Further resources
-
-- [Concepts: Storage - Persistence and Crash Recovery](../concepts/storage.md#persistence-and-crash-recovery)
-
-## Questions and feedback
-
-import DocsFeedback from '/\_includes/docs-feedback.mdx';
-
-<DocsFeedback/>
diff --git a/docs/weaviate/configuration/index.mdx b/docs/weaviate/configuration/index.mdx
index 3177eca48..b28eff66e 100644
--- a/docs/weaviate/configuration/index.mdx
+++ b/docs/weaviate/configuration/index.mdx
@@ -25,13 +25,6 @@ export const configOpsData = [
     link: "/weaviate/configuration/compression",
     icon: "fas fa-compress-alt",
   },
-  {
-    title: "HNSW Snapshots",
-    description:
-      "Speed up startup and recovery for instances with large vector indexes.",
-    link: "/weaviate/configuration/hnsw-snapshots",
-    icon: "fas fa-camera",
-  },
   {
     title: "Modules",
     description:
diff --git a/netlify.toml b/netlify.toml
index 4aecc23e2..233964326 100644
--- a/netlify.toml
+++ b/netlify.toml
@@ -506,6 +506,11 @@ from = "/weaviate/configuration/persistence"
 to   = "/deploy/configuration/persistence"
 status = 301
 
+[[redirects]]
+from = "/weaviate/configuration/hnsw-snapshots"
+to   = "/weaviate/concepts/storage#hnsw-snapshots"
+status = 301
+
 [[redirects]]
 from = "/weaviate/configuration/monitoring"
 to   = "/deploy/configuration/monitoring"
diff --git a/sidebars.js b/sidebars.js
index b328f000a..146d3abb0 100644
--- a/sidebars.js
+++ b/sidebars.js
@@ -533,7 +533,6 @@ const sidebars = {
             "weaviate/configuration/compression/multi-vectors",
           ],
         },
-        "weaviate/configuration/hnsw-snapshots",
         "weaviate/configuration/modules",
         {
           type: "doc",

From 89b1085cd9bc7641925f681789d1ce7ff3fe6f2e Mon Sep 17 00:00:00 2001
From: Ivan Despot <66276597+g-despot@users.noreply.github.com>
Date: Tue, 11 Aug 2026 17:39:23 +0200
Subject: [PATCH 14/35] docs: correct seven inaccurate claims about snapshots
 and the commit log

An audit against the v1.39.0 tag found several statements in this section
that the code does not support. Four predate this branch and are live on
v1-39/main; three were introduced while reworking it.

- The HNSW commit log does not fsync per write. It is buffered, flushed as
  batches are processed, and synced when a log file is rotated. The same
  applies to the LSM store WAL, which is written but not synced before a
  request is acknowledged; scope the ack guarantee accordingly, and say the
  two logs differ in when they sync rather than when they are written.
- Snapshot creation still loads the snapshot it supersedes into memory. Only
  the commit log delta and the new snapshot are streamed. Drop the claims
  that no snapshot is held and that the in-memory step is fixed cost -- it
  grows with the node ID space.
- Peak disk usage during snapshot creation is above the steady state, since
  the previous snapshot, the merge inputs and the new snapshot coexist. Do
  not tell operators to plan for unchanged headroom.
- Only snapshots and compacted commit logs are written atomically. Raw commit
  logs are appended in place, which is why they self-heal from a torn tail.
- Self-healing recovers a torn tail, not arbitrary on-disk damage.
- A snapshot is created at startup once enough new commit log data has
  accumulated, not on any change, and only rotated files count. Align the
  env-var reference with the same wording.

Also restores two things the earlier rework lost: that the periodic
conditions are conjunctive with their defaults spelled out, and that these
options set through a configuration file are ignored silently, with no
startup warning -- the one path where an operator gets no signal at all.
---
 docs/deploy/configuration/env-vars/index.md |  2 +-
 docs/weaviate/concepts/storage.md           | 42 +++++++++++----------
 2 files changed, 24 insertions(+), 20 deletions(-)

diff --git a/docs/deploy/configuration/env-vars/index.md b/docs/deploy/configuration/env-vars/index.md
index 703178285..0efd4366c 100644
--- a/docs/deploy/configuration/env-vars/index.md
+++ b/docs/deploy/configuration/env-vars/index.md
@@ -87,7 +87,7 @@ import APITable from '@site/src/components/APITable';
 | `PERSISTENCE_HNSW_SNAPSHOT_INTERVAL_SECONDS` | **Deprecated in `v1.39`.** Ignored, and logs a startup warning. In `v1.31` through `v1.38`: the minimum time in seconds that must pass before the next snapshot is created. Default: `21600` seconds (6 hours). See [snapshot configuration before `v1.39`](/weaviate/concepts/storage.md#pre-v1-39-configuration). <br/>Added in `v1.31` | `string - number` | `3600` |
 | `PERSISTENCE_HNSW_SNAPSHOT_MIN_DELTA_COMMITLOGS_NUMBER` | **Deprecated in `v1.39`.** Ignored, and logs a startup warning. In `v1.31` through `v1.38`: the minimum number of new commit log files created since the last snapshot. Default: `1`. See [snapshot configuration before `v1.39`](/weaviate/concepts/storage.md#pre-v1-39-configuration). <br/>Added in `v1.31` | `string - number` | `100` |
 | `PERSISTENCE_HNSW_SNAPSHOT_MIN_DELTA_COMMITLOGS_SIZE_PERCENTAGE` | **Deprecated in `v1.39`.** Ignored, and logs a startup warning. In `v1.31` through `v1.38`: the minimum total size of new commit logs (as a percentage of the previous snapshot's size) required to trigger a new snapshot. Default: `5` (meaning 5% of the previous snapshot's size in new commit logs). See [snapshot configuration before `v1.39`](/weaviate/concepts/storage.md#pre-v1-39-configuration). <br/>Added in `v1.31` | `string - number` | `15` |
-| `PERSISTENCE_HNSW_SNAPSHOT_ON_STARTUP` | **Deprecated in `v1.39`.** Ignored, and logs a startup warning. In `v1.31` through `v1.38`: if set, Weaviate tries to create a new snapshot during startup if there are changes in the commit log since the last snapshot. If there are no changes, the existing snapshot is loaded. Default: `true`. See [snapshot configuration before `v1.39`](/weaviate/concepts/storage.md#pre-v1-39-configuration). <br/>Added in `v1.31` | `boolean` | `false` |
+| `PERSISTENCE_HNSW_SNAPSHOT_ON_STARTUP` | **Deprecated in `v1.39`.** Ignored, and logs a startup warning. In `v1.31` through `v1.38`: if set, Weaviate tries to create a new snapshot during startup when enough new commit log data has accumulated since the last snapshot. Otherwise, it loads the existing snapshot. Default: `true`. See [snapshot configuration before `v1.39`](/weaviate/concepts/storage.md#pre-v1-39-configuration). <br/>Added in `v1.31` | `boolean` | `false` |
 | `PERSISTENCE_HNSW_MAX_LOG_SIZE` | Maximum size of the HNSW [write-ahead-log](/weaviate/concepts/storage.md#hnsw-vector-index-storage). Increase this to improve log compaction efficiency, or decrease to reduce memory requirements. Default: 500MiB | `string` | `4GiB` (IEC units), `4GB` (SI units), `4000000000` (bytes) |
 | `PERSISTENCE_LSM_ACCESS_STRATEGY` | Function used to access disk data in virtual memory. Default: `mmap` | `string` | `mmap` or `pread` |
 | `PERSISTENCE_LSM_MAX_SEGMENT_SIZE` | Maximum size of a segment in the [LSM store](/weaviate/concepts/storage.md#object-and-inverted-index-store). Set this to limit disk usage spikes during compaction to ~2x the segment size. Default: no limit | `string` | `4GiB` (IEC units), `4GB` (SI units), `4000000000` (bytes) |
diff --git a/docs/weaviate/concepts/storage.md b/docs/weaviate/concepts/storage.md
index b358a4705..55846463a 100644
--- a/docs/weaviate/concepts/storage.md
+++ b/docs/weaviate/concepts/storage.md
@@ -13,7 +13,7 @@ The components mentioned on this page aid Weaviate in creating some of its uniqu
 * Each write operation is immediately persisted and also tolerant to application and system crashes.
 * On a vector search query, Weaviate returns the entire object (in other databases sometimes called a "document"), not just a reference, such as an ID.
 * When combining structured search with vector search, filters are applied prior to performing the vector search. This means that you will always receive the specified number of elements as opposed to post-filtering when the final result count is unpredictable.
-* Objects and their vectors can be updated or deleted at will; even while reading from the database.
+* Objects and their vectors can be updated or deleted at will, even while reading from the database.
 
 ## Logical Storage Units: Indexes, Shards, Stores
 
@@ -35,7 +35,7 @@ Weaviate periodically merges smaller, older segments to make larger segments. Si
 
 Considerations
 
-Object storage and inverted index storage implement the LSM algorithm; they use segmentation. The vector index uses a different storage algorithm. The vector index does not use segmentation.
+Object storage and inverted index storage implement the LSM algorithm, they use segmentation. The vector index uses a different storage algorithm. The vector index does not use segmentation.
 
 Weaviate versions before `v1.5.0` use a B+Tree storage mechanism. The LSM method is faster, it works in constant time, and it improves write performance.
 
@@ -93,7 +93,7 @@ Prior to v1.36.6, lazy shard loading was enabled by default for all collections.
 
 Both the LSM stores used for object and inverted storage, as well as the HNSW vector index store make use of memory at some point of the ingestion journey. To prevent data loss on a crash, each operation is additionally written into a **[Write-Ahead-Log (WAL)](https://martinfowler.com/articles/patterns-of-distributed-systems/wal.html)** (also known as a *commit log*). WALs are append-only files that are very efficient to write to and that are rarely a bottleneck for ingestion.
 
-By the time Weaviate has responded with a successful status to your ingestion request, a WAL entry will have been created. If a WAL entry could not be created - for example because the disks are full - Weaviate will respond with an error to the insert or update request.
+By the time Weaviate has responded with a successful status to your ingestion request, an LSM store WAL entry will have been created. If a WAL entry could not be created - for example because the disks are full - Weaviate will respond with an error to the insert or update request. The HNSW vector index keeps its own commit log, described [below](#hnsw-snapshots). It is written on the same request path, and the two differ in when they are synced to disk.
 
 The LSM stores will try to flush a segment on an orderly shutdown. Only if the operation is successful, will the WAL be marked as "complete". This means that if an unexpected crash happens and Weaviate encounters an "incomplete" WAL, it will recover from it. As part of the recovery process, Weaviate will flush a new segment based on the WAL and mark it as complete. As a result, future restarts will no longer have to recover from this WAL.
 
@@ -111,46 +111,50 @@ import HnswSnapshots from '/_includes/feature-notes/hnsw-snapshots.mdx';
 
 A snapshot represents a point-in-time state of the HNSW index. When Weaviate starts, it loads the most recent snapshot and replays only the commit log entries written after it. This significantly reduces startup time, because the number of entries that have to be replayed no longer grows with the age of the index.
 
-The commit log still persists every change immediately, guaranteeing that any acknowledged write is durable. Even with a fresh snapshot, the server typically still has to load at least one subsequent commit log file.
+The commit log records every change to the index as it happens. Entries are written to the log as batches are processed, and a log file is synced to disk when it is rotated. Even with a fresh snapshot, Weaviate typically still has to load at least one subsequent commit log file.
 
-Starting in `v1.39`, snapshots are part of how the vector index is stored rather than an optional speedup. A background process called the commit log compactor owns the on-disk lifecycle of the index: it compacts newly flushed commit logs, merges them together, and writes a new snapshot when doing so is worthwhile. Snapshots and commit logs live in the same directory, and a snapshot replaces the commit logs it covers rather than duplicating them, which keeps the disk footprint proportional to the size of the index.
+Starting in `v1.39`, snapshots are part of how the vector index is stored rather than an optional speedup. A background process called the commit log compactor owns the on-disk lifecycle of the index: it compacts newly flushed commit logs, merges them together, and writes a new snapshot when doing so is worthwhile. Snapshots and commit logs live in the same directory, and a snapshot replaces the commit logs it covers rather than duplicating them, so the commit logs left on disk hold only the delta since the last snapshot. This keeps the disk footprint proportional to the size of the index. Snapshots are also written as a stream. Weaviate still loads the snapshot it supersedes into memory, but the commit log delta and the new snapshot itself are streamed rather than also held there, as they were before `v1.39`.
 
-Upgrading to `v1.39` therefore reduces the disk space the vector index uses, in some cases substantially. Earlier versions keep the full commit log alongside the snapshot, and a snapshot is a more compact representation of the same index than the commit logs it replaces, because compaction keeps only the final state of each vector's connections instead of every change made to them.
+Upgrading to `v1.39` reduces the disk space the vector index uses, in some cases substantially. Earlier versions keep the full commit log alongside the snapshot, and a snapshot is a more compact representation of the same index than the commit logs it replaces, because compaction keeps only the final state of each vector's connections instead of every change made to them.
 
-Two caveats apply. The saving appears once the compactor has run its first cycles on each loaded shard rather than at the moment you upgrade, and inactive tenants do not shrink until they are next activated. Keep planning for the same headroom as before, because peak disk usage still rises while a snapshot is being written.
+A few caveats apply. The saving appears once the compactor has run its first cycles on each loaded shard rather than at the moment you upgrade, and inactive tenants do not shrink until they are next activated. Plan headroom for the peak rather than the steady state: while a snapshot is being written, the directory transiently holds the previous snapshot, the files being merged, and the new snapshot as it is assembled, so disk usage during snapshot creation is meaningfully above the size the index settles at.
 
-Because the merge reads its inputs as sorted streams from disk, only the most recently flushed commit log is processed in memory. That step has a fixed cost regardless of how large the graph is, so snapshot creation no longer requires enough memory to hold the previous snapshot plus the commit log delta.
+Weaviate protects this on-disk state in several ways. Snapshots and compacted commit logs are written to a temporary path and atomically renamed into place, so an interrupted write can never be mistaken for a complete file, and orphaned temporary files are cleaned up on the next startup. When a new snapshot is written, the snapshot it supersedes and the commit logs it covers are removed only after the new one is durably on disk.
 
-Weaviate protects this on-disk state in several ways. New files are written to a temporary path and atomically renamed into place, so an interrupted write can never be mistaken for a complete file, and orphaned temporary files are cleaned up on the next startup.
-
-Commit logs, including compacted ones, are self-healing. If one cannot be read in full, whether because a crash cut it short or because the file was damaged on disk, it is truncated back to its last valid entry. The entries written before the damage are retained and the file becomes valid again for later compaction, so only the damaged tail is lost.
+Commit logs are self-healing. If a crash leaves the last entry of a log incomplete, the file is truncated back to its last valid entry. The entries written before the tear are retained and the file becomes valid again for later compaction, so only the incomplete tail is lost.
 
 Snapshots are handled differently. A snapshot is stored in a checksummed block format and every block is verified when it is read, but unlike a commit log, a snapshot is not truncated or repaired.
 
-If the current snapshot cannot be read, Weaviate does not load a partial index. The shard that owns the snapshot fails to load, and so does every other vector index on that shard. Because the commit logs a snapshot covers are deleted once the snapshot has been written, the index cannot be rebuilt from the node's remaining files. If that shard uses [dynamic lazy shard loading](#dynamic-lazy-shard-loading), the node stays up and requests to the shard return an error. If the shard is loaded eagerly, which is the default for single-tenant collections and for multi-tenant collections below the auto-detection thresholds, node startup fails instead. Restore the affected data from a [backup](/deploy/configuration/backups.md), which includes the snapshot.
+In the rare case that the current snapshot cannot be read, restore the affected data from a [backup](/deploy/configuration/backups.md), which includes the snapshot. Weaviate does not load a partial index, and because the commit logs the snapshot covers have already been removed, nothing remains on the node to replay in its place.
+
+That failure is scoped to the shard that owns the snapshot: the shard fails to load, and so does every other vector index on it. If that shard uses [dynamic lazy shard loading](#dynamic-lazy-shard-loading), the node stays up and requests to the shard return an error. If the shard is loaded eagerly, which is the default for single-tenant collections and for multi-tenant collections below the auto-detection thresholds, node startup fails instead.
 
-The environment variables that configured snapshots before `v1.39` are deprecated. That version and later still recognize `PERSISTENCE_HNSW_DISABLE_SNAPSHOTS` and the `PERSISTENCE_HNSW_SNAPSHOT_*` variables, so an existing deployment starts without a configuration error, but their values are ignored. For each of these variables that is set, Weaviate logs a warning at startup stating that the variable has no effect and will be removed in a future version; variables that are not set produce no warning. If your deployment passes a configuration file with `--config-file` (`weaviate.conf.json` by default), the equivalent camelCase fields in that file, such as `hnswDisableSnapshots`, are accepted and ignored as well, and unlike the environment variables they produce no startup warning. Remove the variables from your deployment configuration, and the equivalent fields from any configuration file, to clear the warnings.
+Weaviate creates and maintains snapshots automatically, so there is nothing to enable, disable, schedule, or tune. [`PERSISTENCE_HNSW_MAX_LOG_SIZE`](/deploy/configuration/env-vars/index.md#PERSISTENCE_HNSW_MAX_LOG_SIZE) still influences the size at which commit log files are rotated, and therefore how often there is new material to compact, but it does not configure snapshots.
+
+The environment variables that configured snapshots before `v1.39` are deprecated. That version and later still recognize `PERSISTENCE_HNSW_DISABLE_SNAPSHOTS` and the `PERSISTENCE_HNSW_SNAPSHOT_*` variables, so an existing deployment starts without a configuration error, but their values are ignored. For each of these variables that is set, Weaviate logs a warning at startup stating that the variable has no effect and will be removed in a future version. If these options are set through a configuration file rather than as environment variables, they are ignored in the same way, but no startup warning is logged. Remove the variables from your deployment configuration to clear the warnings.
 
 #### Snapshot configuration before `v1.39` {#pre-v1-39-configuration}
 
-In `v1.31` through `v1.38`, snapshots are an optional feature layered on top of the commit log rather than part of it, and the `PERSISTENCE_HNSW_SNAPSHOT_*` environment variables control when Weaviate creates them. Snapshots are enabled by default starting in `v1.36`, and disabled by default in `v1.31` through `v1.35`. Weaviate creates one at startup if the commit log changed since the last snapshot, and periodically thereafter. If a snapshot cannot be read in these versions, it is discarded and Weaviate replays the full commit log instead. For the variables themselves, including their defaults and deprecation status, see [`PERSISTENCE_HNSW_DISABLE_SNAPSHOTS`](/deploy/configuration/env-vars/index.md#PERSISTENCE_HNSW_DISABLE_SNAPSHOTS) and the rows that follow it.
+In `v1.31` through `v1.38`, snapshots are an optional feature layered on top of the commit log rather than part of it, and the `PERSISTENCE_HNSW_SNAPSHOT_*` environment variables control when Weaviate creates them. Snapshots are enabled by default starting in `v1.36`, and disabled by default in `v1.31` through `v1.35`. Weaviate can create one at startup and periodically thereafter, once enough new commit log data has accumulated since the last snapshot. Only commit log files that have been rotated count toward that threshold, so changes still in the active file are not considered until the next rotation. If a snapshot cannot be read in these versions, it is discarded and Weaviate replays the full commit log instead. For the variables themselves, including their defaults and deprecation status, see [`PERSISTENCE_HNSW_DISABLE_SNAPSHOTS`](/deploy/configuration/env-vars/index.md#PERSISTENCE_HNSW_DISABLE_SNAPSHOTS) and the rows that follow it.
 
 <details>
   <summary>Periodic snapshot conditions and memory requirements</summary>
 
 Periodic snapshot creation is governed by three variables, and **all** of the following conditions must be met before Weaviate creates a snapshot:
 
-- `PERSISTENCE_HNSW_SNAPSHOT_INTERVAL_SECONDS` — the minimum time since the previous snapshot has elapsed.
-- `PERSISTENCE_HNSW_SNAPSHOT_MIN_DELTA_COMMITLOGS_NUMBER` — enough new commit log files have been created since the last snapshot.
-- `PERSISTENCE_HNSW_SNAPSHOT_MIN_DELTA_COMMITLOGS_SIZE_PERCENTAGE` — the new commit logs are large enough, measured as a percentage of the previous snapshot's size.
+- `PERSISTENCE_HNSW_SNAPSHOT_INTERVAL_SECONDS` — the minimum time since the previous snapshot has elapsed (default `21600` seconds, or six hours).
+- `PERSISTENCE_HNSW_SNAPSHOT_MIN_DELTA_COMMITLOGS_NUMBER` — enough new commit log files have been created since the last snapshot (default `1`).
+- `PERSISTENCE_HNSW_SNAPSHOT_MIN_DELTA_COMMITLOGS_SIZE_PERCENTAGE` — the new commit logs are large enough, measured as a percentage of the previous snapshot's size (default `5`). This condition does not apply to the first snapshot, when there is no previous snapshot to measure against.
+
+Meeting these conditions makes a snapshot eligible rather than guaranteed. The background process that condenses and combines commit log files is also the one that writes the snapshot, so a snapshot can be created on a later pass than the one where the conditions are first met.
 
-Before creating a new snapshot, Weaviate loads the previous snapshot and the commit log difference into memory, so the node needs enough memory to accommodate both. This requirement does not apply in `v1.39` and later, where the merge streams its inputs from disk.
+In these versions, before creating a new snapshot, Weaviate loads the previous snapshot and the commit log difference into memory, so the node needs enough memory to accommodate both.
 
 </details>
 
 ## Conclusions
 
-This page introduced you to the storage mechanisms of Weaviate. It outlined how all writes are persisted immediately and outlined the patterns used within Weaviate to make datasets scale well. For structured data, Weaviate makes use of segmentation to keep the write times constant. For the HNSW vector index, Weaviate avoids segmentation to keep query times efficient.
+This page introduced you to the storage mechanisms of Weaviate. It outlined how all writes are persisted to a log before they are acknowledged and outlined the patterns used within Weaviate to make datasets scale well. For structured data, Weaviate makes use of segmentation to keep the write times constant. For the HNSW vector index, Weaviate avoids segmentation to keep query times efficient.
 
 ## Questions and feedback
 

From cbeebc1718f4528745c58478606ceb45c85cd8c3 Mon Sep 17 00:00:00 2001
From: Ivan Despot <66276597+g-despot@users.noreply.github.com>
Date: Wed, 12 Aug 2026 10:25:59 +0200
Subject: [PATCH 15/35] docs: 1.39 Python client surfaces, corrections, and pin
 bump

Documents the user-facing surfaces that weaviate-client 4.23.0 adds for
Weaviate 1.39, and corrects several published statements that the 1.38
patch line had already made false.

Corrections:
- similarity.md said diversity selection was 'Not supported' for hybrid
  search. That has been false since v1.38.6. Multi-vector remains
  correctly unsupported.
- bm25.md and search-operators.md published exhaustive operator lists
  that omitted AndCross.
- replica-movement.mdx and consistency.md published exhaustive
  replication-state lists that omitted INTEGRATING (added in v1.38.0).
- The MMR feature note still carried a preview label and a multi-node
  caveat that no longer applies, MMR now being a single coordinator pass.
- aws/embeddings.md described 'service' as required while also giving it
  a default. It is optional; core defaults it to bedrock.
- A Bedrock snippet used titan-embed-text-v2:0 without the amazon.
  prefix. Core dispatches on that prefix, so the collection was created
  and then failed later at import time.

New coverage:
- Cross-property AND (and_cross), Python and GraphQL, with the
  tokenization and analyzer constraint that makes it fail.
- Diversity selection on hybrid search, including the pagination
  contract: offset advances by the query limit, not the page size, and
  nothing validates it.
- list_backups() and the list-side incremental_base_backup_id, which is
  distinct from the create-side parameter of the same name.
- dimensions on text2vec-aws, and a location example for text2vec-google.

Version markers cite the release a capability actually became available
in, not 1.39: v1.37.3 and v1.38.6 for MMR, v1.38.6 for hybrid diversity,
v1.38.8 for and_cross, v1.38.0 for INTEGRATING.

The client pin moves to 4.23.0 and the test servers to 1.39.0. 4.23.0 is
not on PyPI yet, so uv.lock cannot be regenerated and the Python CI lanes
will fail at dependency install until it publishes.
---
 _includes/code/howto/configure.backups.py     | 18 +++++
 _includes/code/howto/search.bm25.gql.py       | 25 ++++++
 _includes/code/howto/search.bm25.py           | 30 ++++++++
 _includes/code/howto/search.similarity.mmr.py | 77 +++++++++++++++++++
 _includes/feature-notes/v137-preview.mdx      |  7 +-
 _includes/release-history.md                  |  3 +-
 docs/deploy/configuration/backups.md          | 71 +++++++++++++++++
 .../deploy/configuration/replica-movement.mdx |  3 +
 docs/weaviate/api/graphql/search-operators.md | 43 +++++++++--
 .../python/notes-best-practices.mdx           |  2 +-
 .../replication-architecture/consistency.md   |  2 +
 .../_includes/provider.vectorizer.py          | 36 +++++++--
 .../model-providers/aws/embeddings.md         | 30 +++++++-
 docs/weaviate/release-notes/index.md          | 10 +--
 docs/weaviate/search/bm25.md                  | 44 ++++++++++-
 docs/weaviate/search/hybrid.md                | 37 ++++++++-
 docs/weaviate/search/similarity.md            | 33 +++++++-
 pyproject.toml                                |  2 +-
 tests/docker-compose-anon-2.yml               |  2 +-
 tests/docker-compose-anon-bind.yml            |  2 +-
 tests/docker-compose-anon-clip.yml            |  2 +-
 tests/docker-compose-anon-offload.yml         |  2 +-
 tests/docker-compose-anon.yml                 |  2 +-
 tests/docker-compose-rbac.yml                 |  2 +-
 tests/docker-compose-three-nodes.yml          |  6 +-
 tests/docker-compose.yml                      |  2 +-
 26 files changed, 451 insertions(+), 42 deletions(-)

diff --git a/_includes/code/howto/configure.backups.py b/_includes/code/howto/configure.backups.py
index f143c91d7..e416fb5ba 100644
--- a/_includes/code/howto/configure.backups.py
+++ b/_includes/code/howto/configure.backups.py
@@ -191,6 +191,24 @@
 assert client.collections.exists("Article")
 assert client.collections.exists("Publication")
 
+# START ListBackups
+backups = client.backup.list_backups(
+    backend="filesystem",
+    sort_by_starting_time_asc=True,
+)
+
+for backup in backups:
+    print(backup.backup_id, backup.status, backup.incremental_base_backup_id)
+# END ListBackups
+
+# Test
+backup_ids = [backup.backup_id for backup in backups]
+assert {"base-backup", "incremental-backup-1", "incremental-backup-2"}.issubset(backup_ids)
+bases = {backup.backup_id: backup.incremental_base_backup_id for backup in backups}
+assert bases["base-backup"] is None
+assert bases["incremental-backup-1"] == "base-backup"
+assert bases["incremental-backup-2"] == "incremental-backup-1"
+
 # Clean up
 client.collections.delete(["Article", "Publication"])
 
diff --git a/_includes/code/howto/search.bm25.gql.py b/_includes/code/howto/search.bm25.gql.py
index 18a69fd0a..328170f0b 100644
--- a/_includes/code/howto/search.bm25.gql.py
+++ b/_includes/code/howto/search.bm25.gql.py
@@ -72,4 +72,29 @@
 
 gqlresponse = client.graphql_raw_query(gql_query)
 
+gql_query = """
+# START BM25OperatorCrossPropertyAnd
+{
+  Get {
+    JeopardyQuestion(
+      limit: 3
+      bm25: {
+        query: "Australian mammal cute"
+        # highlight-start
+        searchOperator: {
+          operator: AndCross,
+        }
+        # highlight-end
+      }
+    ) {
+      question
+      answer
+    }
+  }
+}
+# END BM25OperatorCrossPropertyAnd
+"""
+
+gqlresponse = client.graphql_raw_query(gql_query)
+
 client.close()
diff --git a/_includes/code/howto/search.bm25.py b/_includes/code/howto/search.bm25.py
index 696fae0b3..36ad62f4d 100644
--- a/_includes/code/howto/search.bm25.py
+++ b/_includes/code/howto/search.bm25.py
@@ -107,6 +107,36 @@
 # End test
 
 
+# ============================
+# ===== BM25 w/ AND_CROSS =====
+# ============================
+
+# START BM25OperatorCrossPropertyAnd
+# highlight-start
+from weaviate.classes.query import BM25Operator
+# highlight-end
+
+jeopardy = client.collections.use("JeopardyQuestion")
+response = jeopardy.query.bm25(
+    # highlight-start
+    query="African desert wind",
+    # Each token must be matched by at least one searched property,
+    # but not necessarily all by the same property
+    operator=BM25Operator.and_cross(),
+    # highlight-end
+    limit=3,
+)
+
+for o in response.objects:
+    print(o.properties)
+# END BM25OperatorCrossPropertyAnd
+
+
+# Tests
+assert response.objects[0].collection == "JeopardyQuestion"
+# End test
+
+
 # ================================================
 # ===== BM25 Query with score / explainScore =====
 # ================================================
diff --git a/_includes/code/howto/search.similarity.mmr.py b/_includes/code/howto/search.similarity.mmr.py
index 30811ab89..feb486f2b 100644
--- a/_includes/code/howto/search.similarity.mmr.py
+++ b/_includes/code/howto/search.similarity.mmr.py
@@ -126,6 +126,83 @@
 relevant_questions = [o.properties["question"] for o in response_relevant.objects]
 assert diverse_questions != relevant_questions, "Pure diversity and pure relevance should differ"
 
+# START MMRHybridExample
+from weaviate.classes.query import Diversity
+
+collection = client.collections.get("MMRDemo")
+
+# Fuse the keyword and vector results into 20 candidates, then select 5 diverse results
+response = collection.query.hybrid(
+    query="Question",
+    vector=base_vec,
+    limit=20,
+    # highlight-start
+    diversity_selection=Diversity.mmr(
+        limit=5,
+        balance=0.5,
+    ),
+    # highlight-end
+)
+
+for o in response.objects:
+    print(o.properties["question"])
+# END MMRHybridExample
+
+# Test
+assert len(response.objects) == 5
+hybrid_mmr_questions = [o.properties["question"] for o in response.objects]
+
+hybrid_standard = collection.query.hybrid(
+    query="Question",
+    vector=base_vec,
+    limit=5,
+)
+hybrid_standard_questions = [o.properties["question"] for o in hybrid_standard.objects]
+assert set(hybrid_standard_questions) != set(
+    hybrid_mmr_questions
+), "MMR should select different items than standard hybrid search"
+
+# START MMRPagination
+from weaviate.classes.query import Diversity
+
+collection = client.collections.get("MMRDemo")
+
+# The query limit is the size of the window that gets diversified.
+# The diversity limit is the page size.
+query_limit = 10
+page_size = 3
+
+# Advance offset by the query limit, NOT by the number of returned objects
+for offset in range(0, 30, query_limit):
+    page = collection.query.near_vector(
+        near_vector=base_vec,
+        limit=query_limit,
+        # highlight-start
+        offset=offset,
+        diversity_selection=Diversity.mmr(limit=page_size, balance=0.5),
+        # highlight-end
+    )
+
+    for o in page.objects:
+        print(offset, o.properties["question"])
+# END MMRPagination
+
+# Test
+paged_questions = []
+for offset in range(0, 30, query_limit):
+    page = collection.query.near_vector(
+        near_vector=base_vec,
+        limit=query_limit,
+        offset=offset,
+        diversity_selection=Diversity.mmr(limit=page_size, balance=0.5),
+    )
+    paged_questions += [o.properties["question"] for o in page.objects]
+
+assert len(paged_questions) == 9
+assert len(set(paged_questions)) == len(
+    paged_questions
+), "Advancing offset by the query limit must not repeat objects across pages"
+
 # Cleanup
 client.collections.delete("MMRDemo")
 client.close()
diff --git a/_includes/feature-notes/v137-preview.mdx b/_includes/feature-notes/v137-preview.mdx
index 156891a60..eeafa5aa2 100644
--- a/_includes/feature-notes/v137-preview.mdx
+++ b/_includes/feature-notes/v137-preview.mdx
@@ -1,7 +1,6 @@
-:::caution Preview — added in `v1.37`
+:::info Added in `v1.37.3` and `v1.38.6`
 
-This is a preview feature. The API may change in future releases.
-
-- **Multi-node clusters**: MMR reranking may produce suboptimal results for collections whose shards are distributed across multiple nodes, since each shard returns its own candidate set before the coordinator reranks them. We are actively working on improving this.
+**Diversity selection (MMR)** for vector search was added in **`v1.37.3`**.<br/>
+**Diversity selection (MMR)** for hybrid search was added in **`v1.38.6`**.
 
 :::
diff --git a/_includes/release-history.md b/_includes/release-history.md
index c830af81a..a06518986 100644
--- a/_includes/release-history.md
+++ b/_includes/release-history.md
@@ -2,17 +2,18 @@ This table lists recent Weaviate Database versions and corresponding client libr
 
 | Weaviate Database <br/><small>([GitHub][cWeaviate])</small>         | First <br/>release date |                  Python <br/><small>([GitHub][cPython])</small>                   |   TypeScript/ <br/>JavaScript <br/><small>([GitHub][cTypeScript])</small>    |                   Go <br/><small>([GitHub][cGo])</small>                    |             Java <br/><small>([GitHub][cJava])</small>              |                   C# <br/><small>([GitHub][cCSharp])</small>                    |
 | :------------------------------------------------------------------ | :---------------------- | :-------------------------------------------------------------------------------: | :--------------------------------------------------------------------------: | :-------------------------------------------------------------------------: | :-----------------------------------------------------------------: | :-----------------------------------------------------------------------------: |
+| [1.39.x](https://github.com/weaviate/weaviate/releases/tag/v1.39.0) | 2026-08-04              | [4.23.x](https://github.com/weaviate/weaviate-python-client/releases/tag/v4.23.0) |                                      -                                       |                                      -                                      |                                  -                                  |                                        -                                        |
 | [1.38.x](https://github.com/weaviate/weaviate/releases/tag/v1.38.0) | 2026-06-05              | [4.22.x](https://github.com/weaviate/weaviate-python-client/releases/tag/v4.22.0) | [3.14.x](https://github.com/weaviate/typescript-client/releases/tag/v3.14.0) |                                     -                                      | [6.3.0](https://github.com/weaviate/java-client/releases/tag/6.3.0) |                                        -                                        |
 | [1.37.x](https://github.com/weaviate/weaviate/releases/tag/v1.37.0) | 2026-04-16              | [4.21.x](https://github.com/weaviate/weaviate-python-client/releases/tag/v4.21.0) | [3.13.x](https://github.com/weaviate/typescript-client/releases/tag/v3.13.0) | [5.7.3](https://github.com/weaviate/weaviate-go-client/releases/tag/v5.7.3) | [6.2.0](https://github.com/weaviate/java-client/releases/tag/6.2.0) |                                       N/A                                       |
 | [1.36.x](https://github.com/weaviate/weaviate/releases/tag/v1.36.0) | 2026-02-24              | [4.20.x](https://github.com/weaviate/weaviate-python-client/releases/tag/v4.20.0) | [3.12.x](https://github.com/weaviate/typescript-client/releases/tag/v3.12.0) | [5.7.x](https://github.com/weaviate/weaviate-go-client/releases/tag/v5.7.0) | [6.1.0](https://github.com/weaviate/java-client/releases/tag/6.1.0) | [1.0.1](https://github.com/weaviate/weaviate-dotnet-client/releases/tag/v1.0.1) |
 | [1.35.x](https://github.com/weaviate/weaviate/releases/tag/v1.35.0) | 2025-12-17              | [4.19.x](https://github.com/weaviate/weaviate-python-client/releases/tag/v4.19.0) | [3.11.x](https://github.com/weaviate/typescript-client/releases/tag/v3.11.0) | [5.6.x](https://github.com/weaviate/weaviate-go-client/releases/tag/v5.6.0) | [6.0.0](https://github.com/weaviate/java-client/releases/tag/6.0.0) | [1.0.0](https://github.com/weaviate/weaviate-dotnet-client/releases/tag/v1.0.0) |
-| [1.34.x](https://github.com/weaviate/weaviate/releases/tag/v1.34.0) | 2025-11-05              | [4.18.x](https://github.com/weaviate/weaviate-python-client/releases/tag/v4.18.0) | [3.10.x](https://github.com/weaviate/typescript-client/releases/tag/v3.10.0) | [5.6.x](https://github.com/weaviate/weaviate-go-client/releases/tag/v5.6.0) | [6.0.0](https://github.com/weaviate/java-client/releases/tag/6.0.0) |                                        -                                        |
 
 <details>
     <summary>Older releases</summary>
 
 | Weaviate Database <br/><small>([GitHub][cWeaviate])</small>         | First <br/>release date |                  Python <br/><small>([GitHub][cPython])</small>                   |  TypeScript/ <br/>JavaScript <br/><small>([GitHub][cTypeScript])</small>   |                    Go <br/><small>([GitHub][cGo])</small>                     |                                                 Java <br/><small>([GitHub][cJava])</small>                                                  |
 | :------------------------------------------------------------------ | :---------------------- | :-------------------------------------------------------------------------------: | :------------------------------------------------------------------------: | :---------------------------------------------------------------------------: | :-----------------------------------------------------------------------------------------------------------------------------------------: |
+| [1.34.x](https://github.com/weaviate/weaviate/releases/tag/v1.34.0) | 2025-11-05              | [4.18.x](https://github.com/weaviate/weaviate-python-client/releases/tag/v4.18.0) | [3.10.x](https://github.com/weaviate/typescript-client/releases/tag/v3.10.0) |  [5.6.x](https://github.com/weaviate/weaviate-go-client/releases/tag/v5.6.0)  |                                     [6.0.0](https://github.com/weaviate/java-client/releases/tag/6.0.0)                                     |
 | [1.33.x](https://github.com/weaviate/weaviate/releases/tag/v1.33.0) | 2025-09-25              | [4.17.x](https://github.com/weaviate/weaviate-python-client/releases/tag/v4.17.0) | [3.9.x](https://github.com/weaviate/typescript-client/releases/tag/v3.9.0) |  [5.5.x](https://github.com/weaviate/weaviate-go-client/releases/tag/v5.5.0)  |                                     [5.5.x](https://github.com/weaviate/java-client/releases/tag/5.5.0)                                     |
 | [1.32.x](https://github.com/weaviate/weaviate/releases/tag/v1.32.0) | 2025-07-14              | [4.16.x](https://github.com/weaviate/weaviate-python-client/releases/tag/v4.16.0) | [3.8.x](https://github.com/weaviate/typescript-client/releases/tag/v3.8.0) |  [5.3.x](https://github.com/weaviate/weaviate-go-client/releases/tag/v5.3.0)  |                                     [5.4.x](https://github.com/weaviate/java-client/releases/tag/5.4.0)                                     |
 | [1.31.x](https://github.com/weaviate/weaviate/releases/tag/v1.31.0) | 2025-05-30              | [4.15.x](https://github.com/weaviate/weaviate-python-client/releases/tag/v4.15.0) | [3.6.x](https://github.com/weaviate/typescript-client/releases/tag/v3.6.0) |  [5.2.x](https://github.com/weaviate/weaviate-go-client/releases/tag/v5.2.0)  |                                     [5.3.x](https://github.com/weaviate/java-client/releases/tag/5.3.0)                                     |
diff --git a/docs/deploy/configuration/backups.md b/docs/deploy/configuration/backups.md
index 784983d5f..419bacbe2 100644
--- a/docs/deploy/configuration/backups.md
+++ b/docs/deploy/configuration/backups.md
@@ -522,6 +522,77 @@ Base backups (and any intermediate incremental backups in a chain) must remain a
 
 :::
 
+### List Backups
+
+You can list the backups that are stored in a backup backend. The listing reports the status of each backup, the collections it holds, its size, and, for an incremental backup, the backup it was built on. This is how you inspect an existing [chain of incremental backups](#chained-incremental-backups) and confirm that every backup the chain depends on is still present.
+
+```js
+GET /v1/backups/{backend}
+```
+
+#### Parameters
+
+##### URL Parameters
+
+| Name | Type | Required | Description |
+| ---- | ---- | ---- | ---- |
+| `backend` | string | yes | The name of the backup provider module without the `backup-` prefix, for example `s3`, `gcs`, or `filesystem`. |
+
+##### Query Parameters
+
+| Name | Type | Required | Default | Description |
+| ---- | ---- | ---- | ---- | ---- |
+| `order` | string | no | `desc` | Sort the returned backups by start time, either `asc` (oldest first) or `desc` (newest first). |
+
+##### Response fields
+
+| name | type | description |
+| ---- | ---- | ---- |
+| `id` | string | The identifier of the backup. |
+| `classes` | array | The collections the backup contains. |
+| `status` | string | The status of the backup, such as `SUCCESS` or `FAILED`. |
+| `startedAt` | date | When the backup started. |
+| `completedAt` | date | When the backup finished, successfully or not. |
+| `size` | number | The size of the backup in GiB, measured before compression. |
+| `incremental_base_backup_id` | string | The identifier of the backup that this [incremental backup](#incremental-backups) was built on. Empty when the backup is a full backup. Only returned to root users, see below. Introduced in Weaviate `v1.37.6`. |
+
+The listing only includes backups whose collections you are authorized to read. Backups you have no read access to are left out rather than causing an error.
+
+:::caution One name, two different things
+
+`incremental_base_backup_id` appears on both sides of the backup API, and the two are not interchangeable:
+
+- On the **create** side it is an input that you supply. It names the backup that the new backup should build on, as described under [Create an incremental backup](#create-an-incremental-backup).
+- On the **list** side it is a read-only output. It reports the backup that an already-created backup was built on, which is what lets you walk a chain back to its full base backup.
+
+You cannot choose a base backup through the list API. The value it returns reflects a decision that was made when that backup was created.
+
+:::
+
+:::info The base backup identifier is only returned to root users
+
+The list-side `incremental_base_backup_id` is treated as sensitive. Weaviate only fills it in when it has confirmed that the caller is a [root user](/docs/deploy/configuration/configuring-rbac.md). Any other caller receives an empty value for this field, even one with full backup permissions and even when the backup really is incremental. If you are auditing a backup chain and every entry comes back empty, check the identity you are connecting with before concluding that no incremental backups exist.
+
+:::
+
+<FilteredTextBlock
+  text={PyCode}
+  startMarker="# START ListBackups"
+  endMarker="# END ListBackups"
+  language="py"
+/>
+
+<details>
+  <summary>Code output</summary>
+
+```
+base-backup BackupStatus.SUCCESS None
+incremental-backup-1 BackupStatus.SUCCESS base-backup
+incremental-backup-2 BackupStatus.SUCCESS incremental-backup-1
+```
+
+</details>
+
 ### Cancel Backup
 
 An ongoing backup can be cancelled at any time. The backup process will be stopped, and the backup will be marked as `CANCELLED`.
diff --git a/docs/deploy/configuration/replica-movement.mdx b/docs/deploy/configuration/replica-movement.mdx
index 87f874e69..86899d478 100644
--- a/docs/deploy/configuration/replica-movement.mdx
+++ b/docs/deploy/configuration/replica-movement.mdx
@@ -146,10 +146,13 @@ The movement operation can have one of the following states:
 - `REGISTERED`
 - `HYDRATING`
 - `FINALIZING`
+- `INTEGRATING`
 - `DEHYDRATING`
 - `READY`
 - `CANCELLED`
 
+`INTEGRATING` was added in `v1.38.0`. On earlier versions the operation goes straight from `FINALIZING` to `DEHYDRATING` for a move, or to `READY` for a copy.
+
 To learn more about the replication states, check out [Concepts: Replication architecture](/docs/weaviate/concepts/replication-architecture/consistency.md#replica-movement).
 
 :::
diff --git a/docs/weaviate/api/graphql/search-operators.md b/docs/weaviate/api/graphql/search-operators.md
index 7cd5023a7..b2474aad4 100644
--- a/docs/weaviate/api/graphql/search-operators.md
+++ b/docs/weaviate/api/graphql/search-operators.md
@@ -435,9 +435,15 @@ To mitigate this effect, Weaviate automatically performs a search with a higher
 
 <SearchOperators/>
 
-Use `bm25SearchOperator` to set how many of the query tokens must be present within a single searched property for an object to be considered a match in the keyword (bm25) search portion of the hybrid search. This is useful when you want to ensure that only objects with a certain number of relevant keywords are returned.
+Use `bm25SearchOperator` to set how the query tokens must match for an object to be considered a match in the keyword (bm25) search portion of the hybrid search. This is useful when you want to ensure that only objects with a certain number of relevant keywords are returned.
 
-The available options are `And`, or `Or`. With `And`, all of the query tokens must appear together within a single searched property; tokens spread across different properties do not match. If `Or` is set, an additional parameter `minimumOrTokensMatch` must be specified, which defines how many of the query tokens must be present within a single searched property for the object to be considered a match.
+The available options are `And`, `Or`, and `AndCross`:
+
+| Option | Description |
+| ------ | ----------- |
+| `And` | All of the query tokens must appear together within a single searched property. Tokens spread across different properties do not match. |
+| `Or` | An additional parameter `minimumOrTokensMatch` must be specified, which defines how many of the query tokens must be present within a single searched property for the object to be considered a match. |
+| `AndCross` | Every query token must be matched by at least one of the searched properties, so the tokens can be spread across different properties. All searched properties must share the same tokenization and analyzer settings, otherwise the query fails with an error. (available from `v1.38.8`) |
 
 If not set, the keyword search behaves as if `Or` was set with a `minimumOrTokensMatch` of `1`.
 
@@ -458,7 +464,7 @@ The `bm25` operator supports the following variables:
 | --------- | -------- | ----------- |
 | `query`   | yes      | The keyword search query. |
 | `properties` | no    | Array of properties (fields) to search in, defaulting to all properties in the collection. |
-| `searchOperator` | no | set how many of the query tokens must be present within a single searched property for an object to be considered a match. (available from `v1.31.0`) |
+| `searchOperator` | no | Set how the query tokens must match for an object to be considered a match. See [Search operator](#search-operator) for the available options. (available from `v1.31.0`) |
 
 :::info Boosting properties
 Specific properties can be boosted by a factor specified as a number after the caret sign, for example `properties: ["title^3", "summary"]`.
@@ -537,12 +543,39 @@ import GraphQLFiltersBM25FilterExample from '/_includes/code/graphql.filters.bm2
 
 <SearchOperators/>
 
-Use `searchOperator` to set how many of the query tokens must be present within a single searched property for an object to be considered a match. This is useful when you want to ensure that only objects with a certain number of relevant keywords are returned.
+Use `searchOperator` to set how the query tokens must match for an object to be considered a match. This is useful when you want to ensure that only objects with a certain number of relevant keywords are returned.
+
+The available options are `And`, `Or`, and `AndCross`:
 
-The available options are `And`, or `Or`. With `And`, all of the query tokens must appear together within a single searched property; tokens spread across different properties do not match. If `Or` is set, an additional parameter `minimumOrTokensMatch` must be specified, which defines how many of the query tokens must be present within a single searched property for the object to be considered a match.
+| Option | Description |
+| ------ | ----------- |
+| `And` | All of the query tokens must appear together within a single searched property. Tokens spread across different properties do not match. |
+| `Or` | An additional parameter `minimumOrTokensMatch` must be specified, which defines how many of the query tokens must be present within a single searched property for the object to be considered a match. |
+| `AndCross` | Every query token must be matched by at least one of the searched properties, so the tokens can be spread across different properties. All searched properties must share the same tokenization and analyzer settings, otherwise the query fails with an error. (available from `v1.38.8`) |
 
 If not set, the keyword search behaves as if `Or` was set with a `minimumOrTokensMatch` of `1`.
 
+An `AndCross` query example:
+
+```graphql
+{
+  Get {
+    JeopardyQuestion(
+      limit: 3
+      bm25: {
+        query: "African desert wind"
+        searchOperator: {
+          operator: AndCross
+        }
+      }
+    ) {
+      question
+      answer
+    }
+  }
+}
+```
+
 ## ask
 
 Enabled by the module: [Question Answering](/weaviate/modules/qna-transformers.md).
diff --git a/docs/weaviate/client-libraries/python/notes-best-practices.mdx b/docs/weaviate/client-libraries/python/notes-best-practices.mdx
index e70a2a025..d54190bd3 100644
--- a/docs/weaviate/client-libraries/python/notes-best-practices.mdx
+++ b/docs/weaviate/client-libraries/python/notes-best-practices.mdx
@@ -275,7 +275,7 @@ Note that these lists are reset when a batching process is initialized. So make
   language="py"
 />
 
-`collection.data.ingest()` does not use a batching context, so it reports failures through its return value instead. Check `result.errors`, a dictionary that holds one entry per failed object, keyed by the position of the object in the input. The [one-shot ingest](#one-shot-ingest) example above shows this pattern.
+`collection.data.ingest()` does not use a batching context, so it reports failures through its return value instead. Check `result.has_errors` for a quick summary flag that tells you whether anything failed. For the detail, check `result.errors`, a dictionary that holds one entry per failed object, keyed by the position of the object in the input. The [one-shot ingest](#one-shot-ingest) example above shows this pattern.
 
 ### Batch vectorization
 
diff --git a/docs/weaviate/concepts/replication-architecture/consistency.md b/docs/weaviate/concepts/replication-architecture/consistency.md
index 7f28f9be0..122e21103 100644
--- a/docs/weaviate/concepts/replication-architecture/consistency.md
+++ b/docs/weaviate/concepts/replication-architecture/consistency.md
@@ -355,6 +355,8 @@ Each replica movement operation progresses through a workflow designed to mainta
 
 - **FINALIZING**: The bulk data transfer is complete, and the new replica is catching up on any writes that occurred during the transfer. This ensures the replica is fully synchronized with the latest data. You can use the [`REPLICA_MOVEMENT_MINIMUM_ASYNC_WAIT` environment variable](/docs/deploy/configuration/env-vars/index.md#REPLICA_MOVEMENT_MINIMUM_ASYNC_WAIT) to adjust the wait time which ensures that any in progress writes have been completed and replicated to the target node.
 
+- **INTEGRATING** (added in `v1.38.0`): The new replica has joined the shard's replica set and is being brought into the write path on every node. The operation waits until all nodes agree that the new replica is a write target, so that no node can acknowledge a write that skips it. Each node reports that it reached this state only after its own in-flight writes to the shard have drained, which prevents a write that was already accepted from being lost. Once the cluster agrees, the last writes recorded on the source during the transition are applied to the new replica, and the source stops recording further changes for this operation. For copy operations, the next state is **READY**. For move operations, the next state is **DEHYDRATING**.
+
 - **DEHYDRATING**: For move operations, after the new replica is ready, the original replica on the source node is being removed. 
 
 - **READY**: The operation has completed successfully. The new replica is fully synchronized and ready to serve traffic. For move operations, the source replica has been removed.
diff --git a/docs/weaviate/model-providers/_includes/provider.vectorizer.py b/docs/weaviate/model-providers/_includes/provider.vectorizer.py
index 1acbf121d..bc0b2400d 100644
--- a/docs/weaviate/model-providers/_includes/provider.vectorizer.py
+++ b/docs/weaviate/model-providers/_includes/provider.vectorizer.py
@@ -25,7 +25,7 @@
             region="us-east-1",
             source_properties=["title"],
             service="bedrock",
-            model="titan-embed-text-v2:0",
+            model="amazon.titan-embed-text-v2:0",
         )
     ],
     # highlight-end
@@ -62,17 +62,40 @@
 # START FullVectorizerAWS
 from weaviate.classes.config import Configure
 
+# For Bedrock
 client.collections.create(
     "DemoCollection",
     # highlight-start
     vector_config=[
-        Configure.Vectors.text2vec_aws(
+        Configure.Vectors.text2vec_aws_bedrock(
+            name="title_vector",
+            region="us-east-1",
+            source_properties=["title"],
+            model="amazon.titan-embed-text-v2:0",   # Required
+            # Further options
+            # dimensions=512,                       # Amazon models only
+        )
+    ],
+    # highlight-end
+    # Additional parameters not shown
+)
+
+# clean up
+client.collections.delete("DemoCollection")
+
+# For SageMaker
+client.collections.create(
+    "DemoCollection",
+    # highlight-start
+    vector_config=[
+        Configure.Vectors.text2vec_aws_sagemaker(
             name="title_vector",
             region="us-east-1",
             source_properties=["title"],
-            service="bedrock",                      # `bedrock` or `sagemaker`
-            model="titan-embed-text-v2:0",          # If using `bedrock`, this is required
-            # endpoint="<sagemaker_endpoint>",        # If using `sagemaker`, this is required
+            endpoint="<sagemaker_endpoint>",        # Required
+            # Further options
+            # target_model="<sagemaker_target_model>",
+            # target_variant="<sagemaker_target_variant>",
         )
     ],
     # highlight-end
@@ -294,12 +317,13 @@
 client.collections.create(
     "DemoCollection",
     # highlight-start
-    vector_config=Configure.Vectors.text2vec_google(
+    vector_config=Configure.Vectors.text2vec_google_vertex(
         name="title_vector",
         source_properties=["title"],
         project_id="<google-cloud-project-id>",  # Required for Vertex AI
         # Further options
         # model="<google-model-id>",
+        # location="<google-cloud-region>",
         # api_endpoint="<google-api-endpoint>",
     ),
     # highlight-end
diff --git a/docs/weaviate/model-providers/aws/embeddings.md b/docs/weaviate/model-providers/aws/embeddings.md
index 3fafe5b4d..49fec0529 100644
--- a/docs/weaviate/model-providers/aws/embeddings.md
+++ b/docs/weaviate/model-providers/aws/embeddings.md
@@ -185,12 +185,34 @@ import VectorizationBehavior from '/_includes/vectorization.behavior.mdx';
 
 ### Vectorizer parameters
 
-The following examples show how to configure AWS-specific options.
+**Common parameters:**
+- `service` (Optional): The AWS service to use, either `bedrock` or `sagemaker`. Defaults to `bedrock`.
+- `region` (Required): The AWS region to send requests to, e.g. `us-east-1`.
 
-The AWS region setting is required for all AWS integrations.
+**Bedrock parameters:**
+- `model` (Required): The full Bedrock model identifier, e.g. `amazon.titan-embed-text-v2:0`.
+- `dimensions` (Optional): The size of the embedding to request from the model, e.g. `512`.
 
-- Bedrock users must set `service` to `bedrock` and provide the `model` name.
-- SageMaker users must set `service` to `sagemaker` and provide the `endpoint` address.
+**SageMaker parameters:**
+- `endpoint` (Required): The name of the SageMaker endpoint to invoke, e.g. `tei-xxx`.
+- `targetModel` (Optional): The model to target on a multi-model endpoint.
+- `targetVariant` (Optional): The production variant to target on the endpoint.
+
+#### `service`
+
+Weaviate falls back to `bedrock` when `service` is not set, so a SageMaker configuration has to set it to `sagemaker`. Any value other than `bedrock` or `sagemaker` is rejected when the collection is created.
+
+Some clients offer service-specific constructors, such as `text2vec_aws_bedrock` and `text2vec_aws_sagemaker`, which select the service for you. Examples built on those constructors do not pass `service` at all. Every other example on this page sets it explicitly, as does any configuration written directly against the collection definition.
+
+#### `dimensions`
+
+`dimensions` was added in `v1.36.19`, and is also available from `v1.37.10`, `v1.38.2`, and `v1.39.0` onward.
+
+Weaviate only forwards `dimensions` to Amazon models on Bedrock, such as the Titan and Nova embedding families. Cohere models on Bedrock, and SageMaker endpoints, accept the setting in the collection configuration but ignore it when embeddings are generated, so their vectors keep the model's default size. Check the model's documentation for the sizes it supports.
+
+#### Example configuration
+
+The following examples show how to configure AWS-specific options for each service.
 
 <Tabs className="code" groupId="languages">
   <TabItem value="py" label="Python">
diff --git a/docs/weaviate/release-notes/index.md b/docs/weaviate/release-notes/index.md
index ca97aaac2..1bbd63dd4 100644
--- a/docs/weaviate/release-notes/index.md
+++ b/docs/weaviate/release-notes/index.md
@@ -17,6 +17,11 @@ import QuickLinks from "/src/components/QuickLinks";
 
 export const pythonCardsData = [
 {
+title: "v1.39",
+link: "https://github.com/weaviate/weaviate/releases/tag/v1.39.0",
+icon: "fa fa-tags",
+},
+{
 title: "v1.38",
 link: "https://github.com/weaviate/weaviate/releases/tag/v1.38.0",
 icon: "fa fa-tags",
@@ -36,11 +41,6 @@ title: "v1.35",
 link: "https://weaviate.io/blog/weaviate-1-35-release",
 icon: "fa fa-tags",
 },
-{
-title: "v1.34",
-link: "https://weaviate.io/blog/weaviate-1-34-release",
-icon: "fa fa-tags",
-},
 ];
 
 <QuickLinks items={pythonCardsData} />
diff --git a/docs/weaviate/search/bm25.md b/docs/weaviate/search/bm25.md
index 92106894e..0f24fd76d 100644
--- a/docs/weaviate/search/bm25.md
+++ b/docs/weaviate/search/bm25.md
@@ -99,7 +99,7 @@ import SearchOperators from '/_includes/feature-notes/search-operators.mdx';
 
 <SearchOperators/>
 
-Search operators define the minimum number of query [tokens](#set-tokenization) that must be present within a single searched property for an object to be returned. The options are `and`, or `or` (default).
+Search operators define how many of the query [tokens](#set-tokenization) must match, and whether they must all match within a single searched property. The options are `or` (default), `and`, and `and_cross`.
 
 ### `or`
 
@@ -179,6 +179,48 @@ With the `and` operator, the search returns objects where all tokens in the sear
   </TabItem>
 </Tabs>
 
+### `and_cross`
+
+:::info Added in `v1.38.8`
+:::
+
+With the `and_cross` operator, every token in the search string must be matched by at least one of the searched properties, but the tokens do not all have to occur in the same property. An object whose title matches one token and whose body matches the rest is a match for `and_cross`, and is not a match for `and`.
+
+Because it relaxes the single-property requirement, `and_cross` returns every object that `and` returns, and usually more.
+
+:::caution All searched properties must be configured alike
+
+`and_cross` requires every searched property to share the same tokenization and the same analyzer settings, which means the tokenizer, accent folding and its exceptions, and the stopword preset. If they differ, the query fails with an error instead of returning fewer results:
+
+```
+OPERATOR_AND_CROSS requires all searched properties to share the same tokenization and analyzer settings
+```
+
+If a collection mixes tokenizations, restrict the search to a compatible set of properties. See [Search on selected properties only](#search-on-selected-properties-only).
+
+:::
+
+The examples below use Python and GraphQL, because `and_cross` is currently available in the Python client and not yet in the TypeScript, Go, Java, or C# clients.
+
+<Tabs className="code" groupId="languages">
+  <TabItem value="py" label="Python">
+    <FilteredTextBlock
+      text={PyCode}
+      startMarker="# START BM25OperatorCrossPropertyAnd"
+      endMarker="# END BM25OperatorCrossPropertyAnd"
+      language="python"
+    />
+  </TabItem>
+  <TabItem value="graphql" label="GraphQL">
+    <FilteredTextBlock
+      text={GQLCode}
+      startMarker="# START BM25OperatorCrossPropertyAnd"
+      endMarker="# END BM25OperatorCrossPropertyAnd"
+      language="python"
+    />
+  </TabItem>
+</Tabs>
+
 ## Retrieve BM25F scores
 
 You can retrieve the BM25F `score` values for each returned object.
diff --git a/docs/weaviate/search/hybrid.md b/docs/weaviate/search/hybrid.md
index 46d3839e0..7f0f13176 100644
--- a/docs/weaviate/search/hybrid.md
+++ b/docs/weaviate/search/hybrid.md
@@ -16,6 +16,7 @@ import GoCode from '!!raw-loader!/\_includes/code/howto/go/docs/mainpkg/search-h
 import JavaV6Code from "!!raw-loader!/\_includes/code/java-v6/src/test/java/SearchHybridTest.java";
 import CSharpCode from "!!raw-loader!/\_includes/code/csharp/SearchHybridTest.cs";
 import GQLCode from '!!raw-loader!/\_includes/code/howto/search.hybrid.gql.py';
+import MMRPyCode from '!!raw-loader!/\_includes/code/howto/search.similarity.mmr.py';
 import BoostNote from '/_includes/feature-notes/boost.mdx';
 
 `Hybrid` search combines the results of a vector search and a keyword (BM25F) search by fusing the two result sets.
@@ -386,7 +387,9 @@ import SearchOperators from '/_includes/feature-notes/search-operators.mdx';
 
 <SearchOperators/>
 
-Keyword (BM25) search operators define the minimum number of query [tokens](#tokenization) that must be present within a single searched property for an object to be returned. The options are `and`, or `or` (default).
+Keyword (BM25) search operators define how many of the query [tokens](#tokenization) must match, and whether they must all match within a single searched property. The options are `or` (default), `and`, and `and_cross`.
+
+The keyword leg of a hybrid query accepts the same operators as a standalone keyword search. For `and_cross`, which matches every token across the searched properties combined, see [BM25 search: `and_cross`](./bm25.md#and_cross).
 
 ### `or`
 
@@ -1051,6 +1054,38 @@ The boost runs once over the **fused** hybrid result. The BM25 and vector sub-se
 
 See [Boost](./boost.md) for the supported condition types (filter, property value, time decay, numeric decay), curve choices, blending semantics, and depth tuning.
 
+## Diversity selection (MMR)
+
+:::info Added in `v1.38.6`
+:::
+
+Hybrid search fuses a keyword result set and a vector result set, which often means the top of the fused list is a cluster of near-duplicates. **Maximum Marginal Relevance (MMR)** reranks that list to balance relevance with diversity, so that each selected object adds something new to the result set.
+
+Diversity selection runs after fusion. Both search legs run first, their results are fused with the configured `alpha` and fusion method, and the diversity pass then picks a diverse subset of the fused candidates.
+
+The examples in this section are Python only, because diversity selection is currently available in the Python client and not yet in the TypeScript, Go, Java, or C# clients. There is no GraphQL equivalent.
+
+<Tabs className="code" groupId="languages">
+  <TabItem value="py" label="Python">
+    <FilteredTextBlock
+      text={MMRPyCode}
+      startMarker="# START MMRHybridExample"
+      endMarker="# END MMRHybridExample"
+      language="python"
+    />
+  </TabItem>
+</Tabs>
+
+Important notes:
+
+- **Top-level only**: set diversity selection on the hybrid query itself. Setting it on a sub-search is rejected with an error.
+- **Two limits**: the query's top-level `limit` is the candidate window that gets diversified, and the diversity `limit` is the number of results returned. The diversity `limit` must be at least `1` and no larger than the query `limit`.
+- **Ordering**: results come back in MMR order, not fused-score order.
+- **Pagination**: `offset` moves the candidate window, so it must advance by the query `limit`, not by the number of returned objects. Weaviate does not validate this, and getting it wrong silently repeats some objects across pages while skipping others. See [Pagination](./similarity.md#pagination).
+- **Not supported**: multi-vector collections. Weaviate rejects these queries with an error.
+
+For the parameters, the relevance and diversity trade-off, and vector search examples, see [Diversity selection (MMR)](./similarity.md#diversity-selection-mmr).
+
 ## Related pages
 
 - [Connect to Weaviate](/weaviate/connections/index.mdx)
diff --git a/docs/weaviate/search/similarity.md b/docs/weaviate/search/similarity.md
index 44408767e..ebabf4fcd 100644
--- a/docs/weaviate/search/similarity.md
+++ b/docs/weaviate/search/similarity.md
@@ -696,7 +696,7 @@ Add the `diversity_selection` parameter to any vector search query:
 
 | Parameter | Type  | Description                                                                                                                                             |
 | :-------- | :---- | :------------------------------------------------------------------------------------------------------------------------------------------------------ |
-| `limit`   | int   | Number of results to return after MMR reranking. Must be less than or equal to the query's top-level `limit` (the candidate set size).                  |
+| `limit`   | int   | Number of results to return after MMR reranking. Must be at least `1` and no larger than the query's top-level `limit` (the candidate set size). Weaviate returns an error if it is omitted or out of range. |
 | `balance` | float | Controls the relevance-diversity trade-off (0.0–1.0). `0.0` = pure diversity, `0.5` = balanced, `1.0` = pure relevance (equivalent to standard search). |
 
 <FilteredTextBlock
@@ -710,13 +710,40 @@ Important notes:
 
 - **Result ordering**: Results are ordered by MMR score, not query similarity. The first result is the most relevant, but subsequent results may have lower query similarity because they were chosen for diversity.
 - **No reindexing needed**: MMR is applied at query time. You can use it on any existing collection without schema changes.
-- **Supported queries**: `near_text`, `near_vector`, `near_object`, `near_image`, and `near_media`.
-- **Not supported**: hybrid search and multi-vector collections.
+- **Supported queries**: `near_text`, `near_vector`, `near_object`, `near_image`, and `near_media`. Hybrid search is also supported, from `v1.38.6`. See [Diversity selection with hybrid search](./hybrid.md#diversity-selection-mmr).
+- **Not supported**: multi-vector collections. Weaviate rejects these queries with an error instead of ignoring the diversity settings.
 
 :::tip
 A larger candidate set (higher top-level `limit`) gives MMR more results to choose from, improving diversity at the cost of slightly more computation. A good starting point is setting the candidate `limit` to 2–4x the MMR `limit`.
 :::
 
+#### Pagination
+
+Diversity selection changes what `offset` means. `offset` moves the candidate window rather than the page, so it must advance by the query's top-level `limit`, not by the page size or the number of objects returned. Weaviate does not validate the relationship between `offset` and `limit`, so a wrong `offset` produces no error and no warning. The only symptoms are objects that repeat across pages and objects that are never returned at all.
+
+<details>
+  <summary>Candidate window, worked example, and deep pages</summary>
+
+A diversified query works with two limits:
+
+- the query's top-level `limit` is the **candidate window** that gets diversified, and
+- the diversity `limit` is the **page size**, or how many objects come back.
+
+Each page is taken from the slice `[offset, offset + limit)` of the relevance-ranked results, so `offset` must advance by the query `limit`:
+
+<FilteredTextBlock
+  text={MMRPyCode}
+  startMarker="# START MMRPagination"
+  endMarker="# END MMRPagination"
+  language="python"
+/>
+
+The usual pagination idiom, adding the number of returned objects to `offset`, is the failing case here. The page size is always smaller than or equal to the candidate window, so consecutive windows overlap. With a query `limit` of `10` and a diversity `limit` of `3`, advancing `offset` by `3` reads the windows `[0:10]`, `[3:13]`, and `[6:16]`, which is how objects come back twice while others are skipped.
+
+When diversity selection is combined with a boost or with hybrid search, deep pages are also not stable slices of one fixed ranking. Both the boost pool and the two hybrid search legs fetch more candidates as `offset` grows, so which objects can reach a given page depends on how deep you have paged.
+
+</details>
+
 ## Soft-rank with Boost
 
 <BoostNote/>
diff --git a/pyproject.toml b/pyproject.toml
index 657b44ece..17b920ae8 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -18,7 +18,7 @@ dependencies = [
     "requests>=2.32.3",
     "tqdm>=4.67.1",
     "weaviate-agents>=1.7.0",
-    "weaviate-client==4.22.0",
+    "weaviate-client==4.23.0",
     "weaviate-demo-datasets>=0.8.1",
     "weaviate-engram>=0.3.0",
     "anthropic>=0.40.0",
diff --git a/tests/docker-compose-anon-2.yml b/tests/docker-compose-anon-2.yml
index 658c43a83..8567892c7 100644
--- a/tests/docker-compose-anon-2.yml
+++ b/tests/docker-compose-anon-2.yml
@@ -8,7 +8,7 @@ services:
     - '8080'
     - --scheme
     - http
-    image: cr.weaviate.io/semitechnologies/weaviate:1.38.0
+    image: cr.weaviate.io/semitechnologies/weaviate:1.39.0
     ports:
     - 8090:8080
     - 50061:50051
diff --git a/tests/docker-compose-anon-bind.yml b/tests/docker-compose-anon-bind.yml
index 094e83b74..0bc137c0b 100644
--- a/tests/docker-compose-anon-bind.yml
+++ b/tests/docker-compose-anon-bind.yml
@@ -8,7 +8,7 @@ services:
     - '8080'
     - --scheme
     - http
-    image: cr.weaviate.io/semitechnologies/weaviate:1.38.0
+    image: cr.weaviate.io/semitechnologies/weaviate:1.39.0
     ports:
     - 8380:8080
     - 50351:50051
diff --git a/tests/docker-compose-anon-clip.yml b/tests/docker-compose-anon-clip.yml
index 5349933c2..3968a8867 100644
--- a/tests/docker-compose-anon-clip.yml
+++ b/tests/docker-compose-anon-clip.yml
@@ -8,7 +8,7 @@ services:
     - '8080'
     - --scheme
     - http
-    image: cr.weaviate.io/semitechnologies/weaviate:1.38.0
+    image: cr.weaviate.io/semitechnologies/weaviate:1.39.0
     ports:
     - 8280:8080
     - 50251:50051
diff --git a/tests/docker-compose-anon-offload.yml b/tests/docker-compose-anon-offload.yml
index a4ef8c56b..fbc06efc9 100644
--- a/tests/docker-compose-anon-offload.yml
+++ b/tests/docker-compose-anon-offload.yml
@@ -8,7 +8,7 @@ services:
     - '8080'
     - --scheme
     - http
-    image: cr.weaviate.io/semitechnologies/weaviate:1.38.0
+    image: cr.weaviate.io/semitechnologies/weaviate:1.39.0
     ports:
     - 8080:8080
     - 50051:50051
diff --git a/tests/docker-compose-anon.yml b/tests/docker-compose-anon.yml
index 1ff802b26..06ca2b391 100644
--- a/tests/docker-compose-anon.yml
+++ b/tests/docker-compose-anon.yml
@@ -8,7 +8,7 @@ services:
     - '8080'
     - --scheme
     - http
-    image: cr.weaviate.io/semitechnologies/weaviate:1.38.0
+    image: cr.weaviate.io/semitechnologies/weaviate:1.39.0
     ports:
     - 8080:8080
     - 50051:50051
diff --git a/tests/docker-compose-rbac.yml b/tests/docker-compose-rbac.yml
index 5ea8add68..8e542e8b8 100644
--- a/tests/docker-compose-rbac.yml
+++ b/tests/docker-compose-rbac.yml
@@ -7,7 +7,7 @@ services:
     - '8080'
     - --scheme
     - http
-    image: cr.weaviate.io/semitechnologies/weaviate:1.38.0
+    image: cr.weaviate.io/semitechnologies/weaviate:1.39.0
     ports:
     - 8580:8080
     - 50551:50051
diff --git a/tests/docker-compose-three-nodes.yml b/tests/docker-compose-three-nodes.yml
index a9bf30068..1634de0d3 100644
--- a/tests/docker-compose-three-nodes.yml
+++ b/tests/docker-compose-three-nodes.yml
@@ -8,7 +8,7 @@ services:
     - '8080'
     - --scheme
     - http
-    image: cr.weaviate.io/semitechnologies/weaviate:1.38.0
+    image: cr.weaviate.io/semitechnologies/weaviate:1.39.0
     restart: on-failure:0
     ports:
      - "8180:8080"
@@ -36,7 +36,7 @@ services:
     - '8080'
     - --scheme
     - http
-    image: cr.weaviate.io/semitechnologies/weaviate:1.38.0
+    image: cr.weaviate.io/semitechnologies/weaviate:1.39.0
     restart: on-failure:0
     ports:
      - "8181:8080"
@@ -65,7 +65,7 @@ services:
     - '8080'
     - --scheme
     - http
-    image: cr.weaviate.io/semitechnologies/weaviate:1.38.0
+    image: cr.weaviate.io/semitechnologies/weaviate:1.39.0
     restart: on-failure:0
     ports:
      - "8182:8080"
diff --git a/tests/docker-compose.yml b/tests/docker-compose.yml
index 5f56fcd80..487b02a5c 100644
--- a/tests/docker-compose.yml
+++ b/tests/docker-compose.yml
@@ -8,7 +8,7 @@ services:
     - '8080'
     - --scheme
     - http
-    image: cr.weaviate.io/semitechnologies/weaviate:1.38.0
+    image: cr.weaviate.io/semitechnologies/weaviate:1.39.0
     ports:
     - 8099:8080
     - 50052:50051

From a3561344f7d2d63b111e53dc3464addcf8fb56fe Mon Sep 17 00:00:00 2001
From: Ivan Despot <66276597+g-despot@users.noreply.github.com>
Date: Thu, 13 Aug 2026 08:28:42 +0200
Subject: [PATCH 16/35] docs: add the text2vec-morph model provider page set

The module has shipped in core since v1.32.6 and has never been
documented. The Python client docstring already links
/model-providers/morph/embeddings, so that URL has been a 404 since
then. This creates it.

The integration is a thin wrapper over the shared OpenAI client, which
produces the page's most important caveat: the request header is
X-Openai-Api-Key, and the missing-key error names OPENAI_APIKEY, which
this integration does not read. It reads MORPH_APIKEY. Both halves were
reproduced against a live server.

endpoint is a path appended to the base URL, not a full URL. It is
absent from the module's config defaults, so it appears in a stored
collection definition only when set explicitly. Added in v1.38.2 and
backported to v1.36.19 and v1.37.10.

Client coverage is uneven and the examples show only what is released:
TypeScript has no endpoint at the pinned version, C# has no endpoint,
and the Go client has no support at all. C# base URL is omitted because
the client emits baseUrl where the server reads baseURL, so the value
is silently ignored.

Morph labels its Embedding API as legacy and planned for deprecation.
The page states that and links their notice.
---
 _includes/code/csharp/ModelProvidersTest.cs   |  89 ++++++
 .../src/test/java/ModelProvidersTest.java     |  65 ++++
 .../_includes/integration_morph_embedding.png | Bin 0 -> 248269 bytes
 .../integration_morph_embedding_search.png    | Bin 0 -> 287879 bytes
 .../_includes/provider.connect.py             |   9 +
 .../_includes/provider.connect.ts             |   8 +
 .../_includes/provider.vectorizer.py          |  43 +++
 .../_includes/provider.vectorizer.ts          |  50 ++++
 docs/weaviate/model-providers/index.md        |   1 +
 .../model-providers/morph/_category_.json     |   4 +
 .../model-providers/morph/embeddings.md       | 279 ++++++++++++++++++
 docs/weaviate/model-providers/morph/index.md  |  42 +++
 sidebars.js                                   |  10 +
 13 files changed, 600 insertions(+)
 create mode 100644 docs/weaviate/model-providers/_includes/integration_morph_embedding.png
 create mode 100644 docs/weaviate/model-providers/_includes/integration_morph_embedding_search.png
 create mode 100644 docs/weaviate/model-providers/morph/_category_.json
 create mode 100644 docs/weaviate/model-providers/morph/embeddings.md
 create mode 100644 docs/weaviate/model-providers/morph/index.md

diff --git a/_includes/code/csharp/ModelProvidersTest.cs b/_includes/code/csharp/ModelProvidersTest.cs
index 8719c6eb9..f34314fc6 100644
--- a/_includes/code/csharp/ModelProvidersTest.cs
+++ b/_includes/code/csharp/ModelProvidersTest.cs
@@ -154,6 +154,95 @@ await client.Collections.Create(
         await client.Collections.Delete("DemoCollection");
     }
 
+    [Fact(Skip = "Requires MORPH_APIKEY, not configured in CI")]
+    public async Task TestMorphInstantiation()
+    {
+        // START MorphInstantiation
+        // Best practice: store your credentials in environment variables
+        string weaviateUrl = Environment.GetEnvironmentVariable("WEAVIATE_URL");
+        string weaviateApiKey = Environment.GetEnvironmentVariable("WEAVIATE_API_KEY");
+        string morphApiKey = Environment.GetEnvironmentVariable("MORPH_APIKEY");
+
+        // highlight-start
+        // Morph requests are built by Weaviate's OpenAI-compatible client,
+        // so the Morph key is supplied under the OpenAI header name.
+        using var client = await Connect.Cloud(
+            weaviateUrl,
+            weaviateApiKey,
+            headers: new Dictionary<string, string>
+            {
+                ["X-Openai-Api-Key"] = morphApiKey,
+            }
+        );
+
+        var meta = await client.GetMeta();
+        Console.WriteLine(meta.Version);
+        // highlight-end
+        // END MorphInstantiation
+    }
+
+    [Fact(Skip = "Requires MORPH_APIKEY, not configured in CI")]
+    public async Task TestMorphVectorizer()
+    {
+        if (await client.Collections.Exists("DemoCollection"))
+            await client.Collections.Delete("DemoCollection");
+
+        // START BasicVectorizerMorph
+        await client.Collections.Create(
+            new CollectionCreateParams
+            {
+                Name = "DemoCollection",
+                VectorConfig = new VectorConfigList
+                {
+                    Configure.Vector(
+                        "title_vector",
+                        v => v.Text2VecMorph(),
+                        sourceProperties: ["title"]
+                    ),
+                },
+                Properties = [Property.Text("title"), Property.Text("description")],
+            }
+        );
+        // END BasicVectorizerMorph
+
+        var config = await client.Collections.Export("DemoCollection");
+        Assert.True(config.VectorConfig.ContainsKey("title_vector"));
+        Assert.Equal("text2vec-morph", config.VectorConfig["title_vector"].Vectorizer.Identifier);
+
+        await client.Collections.Delete("DemoCollection");
+    }
+
+    [Fact(Skip = "Requires MORPH_APIKEY, not configured in CI")]
+    public async Task TestMorphVectorizerFull()
+    {
+        if (await client.Collections.Exists("DemoCollection"))
+            await client.Collections.Delete("DemoCollection");
+
+        // START FullVectorizerMorph
+        await client.Collections.Create(
+            new CollectionCreateParams
+            {
+                Name = "DemoCollection",
+                VectorConfig = new VectorConfigList
+                {
+                    Configure.Vector(
+                        "title_vector",
+                        v => v.Text2VecMorph(model: "morph-embedding-v3"),
+                        sourceProperties: ["title"]
+                    ),
+                },
+                Properties = [Property.Text("title"), Property.Text("description")],
+            }
+        );
+        // END FullVectorizerMorph
+
+        var config = await client.Collections.Export("DemoCollection");
+        Assert.True(config.VectorConfig.ContainsKey("title_vector"));
+        Assert.Equal("text2vec-morph", config.VectorConfig["title_vector"].Vectorizer.Identifier);
+
+        await client.Collections.Delete("DemoCollection");
+    }
+
     [Fact]
     public async Task TestWeaviateVectorizerModel()
     {
diff --git a/_includes/code/java-v6/src/test/java/ModelProvidersTest.java b/_includes/code/java-v6/src/test/java/ModelProvidersTest.java
index e3c7aa476..c47e6fef3 100644
--- a/_includes/code/java-v6/src/test/java/ModelProvidersTest.java
+++ b/_includes/code/java-v6/src/test/java/ModelProvidersTest.java
@@ -119,6 +119,71 @@ void testDigitalOceanVectorizer() throws IOException {
     client.collections.delete("DemoCollection");
   }
 
+  @Test
+  @Disabled("Requires MORPH_APIKEY, not configured in CI")
+  void testMorphInstantiation() throws Exception {
+    // START MorphInstantiation
+    // Best practice: store your credentials in environment variables
+    String weaviateUrl = System.getenv("WEAVIATE_URL");
+    String weaviateApiKey = System.getenv("WEAVIATE_API_KEY");
+    String morphApiKey = System.getenv("MORPH_APIKEY");
+
+    // highlight-start
+    // Morph requests are built by Weaviate's OpenAI-compatible client,
+    // so the Morph key is supplied under the OpenAI header name.
+    WeaviateClient client = WeaviateClient.connectToWeaviateCloud(
+        weaviateUrl,
+        weaviateApiKey,
+        config -> config.setHeaders(Map.of("X-Openai-Api-Key", morphApiKey)));
+
+    System.out.println(client.isReady()); // Should print: `True`
+    // highlight-end
+
+    client.close(); // Free up resources
+    // END MorphInstantiation
+  }
+
+  @Test
+  @Disabled("Requires MORPH_APIKEY, not configured in CI")
+  void testMorphVectorizer() throws IOException {
+    client.collections.delete("DemoCollection");
+    // START BasicVectorizerMorph
+    client.collections.create("DemoCollection",
+        col -> col
+            .vectorConfig(
+                VectorConfig.text2vecMorph("title_vector", c -> c.sourceProperties("title")))
+            .properties(Property.text("title"), Property.text("description")));
+    // END BasicVectorizerMorph
+
+    var config = client.collections.getConfig("DemoCollection").get();
+    assertThat(config.vectors()).containsKey("title_vector");
+    assertThat(config.vectors().get("title_vector").getClass().getSimpleName())
+        .isEqualTo("Text2VecMorphVectorizer");
+    client.collections.delete("DemoCollection");
+  }
+
+  @Test
+  @Disabled("Requires MORPH_APIKEY, not configured in CI")
+  void testMorphVectorizerFull() throws IOException {
+    client.collections.delete("DemoCollection");
+    // START FullVectorizerMorph
+    client.collections.create("DemoCollection",
+        col -> col
+            .vectorConfig(VectorConfig.text2vecMorph("title_vector",
+                c -> c.sourceProperties("title")
+                    .model("morph-embedding-v3")
+                    .baseUrl("https://api.morphllm.com") // Scheme and host only
+                    .endpoint("/v1/embeddings"))) // Path appended to the base URL
+            .properties(Property.text("title"), Property.text("description")));
+    // END FullVectorizerMorph
+
+    var config = client.collections.getConfig("DemoCollection").get();
+    assertThat(config.vectors()).containsKey("title_vector");
+    assertThat(config.vectors().get("title_vector").getClass().getSimpleName())
+        .isEqualTo("Text2VecMorphVectorizer");
+    client.collections.delete("DemoCollection");
+  }
+
   @Test
   void testWeaviateVectorizerModel() throws IOException {
     // START VectorizerWeaviateCustomModel
diff --git a/docs/weaviate/model-providers/_includes/integration_morph_embedding.png b/docs/weaviate/model-providers/_includes/integration_morph_embedding.png
new file mode 100644
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diff --git a/docs/weaviate/model-providers/_includes/integration_morph_embedding_search.png b/docs/weaviate/model-providers/_includes/integration_morph_embedding_search.png
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HcmV?d00001

diff --git a/docs/weaviate/model-providers/_includes/provider.connect.py b/docs/weaviate/model-providers/_includes/provider.connect.py
index 022ba957d..a6529281f 100644
--- a/docs/weaviate/model-providers/_includes/provider.connect.py
+++ b/docs/weaviate/model-providers/_includes/provider.connect.py
@@ -63,6 +63,10 @@
 # Recommended: save sensitive data as environment variables
 mistral_key = os.getenv("MISTRAL_API_KEY")
 # END MistralInstantiation
+# START MorphInstantiation
+# Recommended: save sensitive data as environment variables
+morph_key = os.getenv("MORPH_APIKEY")
+# END MorphInstantiation
 # START NVIDIAInstantiation
 # Recommended: save sensitive data as environment variables
 nvidia_key = os.getenv("NVIDIA_API_KEY")
@@ -138,6 +142,11 @@
 # START MistralInstantiation
     "X-Mistral-Api-Key": mistral_key,
 # END MistralInstantiation
+# START MorphInstantiation
+    # Morph requests are built by Weaviate's OpenAI-compatible client,
+    # so the Morph key is supplied under the OpenAI header name.
+    "X-Openai-Api-Key": morph_key,
+# END MorphInstantiation
 # START NVIDIAInstantiation
     "X-NVIDIA-Api-Key": nvidia_key,
 # END NVIDIAInstantiation
diff --git a/docs/weaviate/model-providers/_includes/provider.connect.ts b/docs/weaviate/model-providers/_includes/provider.connect.ts
index 149bf866a..8ab469616 100644
--- a/docs/weaviate/model-providers/_includes/provider.connect.ts
+++ b/docs/weaviate/model-providers/_includes/provider.connect.ts
@@ -42,6 +42,9 @@ const jinaaiApiKey = process.env.JINAAI_API_KEY || '';  // Replace with your inf
 // START MistralInstantiation
 const mistralApiKey = process.env.MISTRAL_API_KEY || '';  // Replace with your inference API key
 // END MistralInstantiation
+// START MorphInstantiation
+const morphApiKey = process.env.MORPH_APIKEY || '';  // Replace with your inference API key
+// END MorphInstantiation
 // START NVIDIAInstantiation
 const nvidiaApiKey = process.env.NVIDIA_API_KEY || '';  // Replace with your inference API key
 // END NVIDIAInstantiation
@@ -113,6 +116,11 @@ const client = await weaviate.connectToWeaviateCloud(
       // START MistralInstantiation
       'X-Mistral-Api-Key': mistralApiKey,
       // END MistralInstantiation
+      // START MorphInstantiation
+      // Morph requests are built by Weaviate's OpenAI-compatible client,
+      // so the Morph key is supplied under the OpenAI header name.
+      'X-Openai-Api-Key': morphApiKey,
+      // END MorphInstantiation
       // START NVIDIAInstantiation
       'X-NVIDIA-Api-Key': nvidiaApiKey,
       // END NVIDIAInstantiation
diff --git a/docs/weaviate/model-providers/_includes/provider.vectorizer.py b/docs/weaviate/model-providers/_includes/provider.vectorizer.py
index bc0b2400d..cf3e62aaa 100644
--- a/docs/weaviate/model-providers/_includes/provider.vectorizer.py
+++ b/docs/weaviate/model-providers/_includes/provider.vectorizer.py
@@ -726,6 +726,49 @@
 # clean up
 client.collections.delete("DemoCollection")
 
+# START BasicVectorizerMorph
+from weaviate.classes.config import Configure
+
+client.collections.create(
+    "DemoCollection",
+    # highlight-start
+    vector_config=[
+        Configure.Vectors.text2vec_morph(
+            name="title_vector",
+            source_properties=["title"],
+        )
+    ],
+    # highlight-end
+    # Additional parameters not shown
+)
+# END BasicVectorizerMorph
+
+# clean up
+client.collections.delete("DemoCollection")
+
+# START FullVectorizerMorph
+from weaviate.classes.config import Configure
+
+client.collections.create(
+    "DemoCollection",
+    # highlight-start
+    vector_config=[
+        Configure.Vectors.text2vec_morph(
+            name="title_vector",
+            source_properties=["title"],
+            model="morph-embedding-v3",
+            base_url="https://api.morphllm.com",  # Scheme and host only
+            endpoint="/v1/embeddings",            # Path appended to the base URL
+        )
+    ],
+    # highlight-end
+    # Additional parameters not shown
+)
+# END FullVectorizerMorph
+
+# clean up
+client.collections.delete("DemoCollection")
+
 # START BasicVectorizerNVIDIA
 from weaviate.classes.config import Configure
 
diff --git a/docs/weaviate/model-providers/_includes/provider.vectorizer.ts b/docs/weaviate/model-providers/_includes/provider.vectorizer.ts
index 11f5bef7a..51b517445 100644
--- a/docs/weaviate/model-providers/_includes/provider.vectorizer.ts
+++ b/docs/weaviate/model-providers/_includes/provider.vectorizer.ts
@@ -851,6 +851,56 @@ await client.collections.create({
 // Clean up
 await client.collections.delete('DemoCollection');
 
+// START BasicVectorizerMorph
+await client.collections.create({
+  name: 'DemoCollection',
+  properties: [
+    {
+      name: 'title',
+      dataType: 'text' as const,
+    },
+  ],
+  // highlight-start
+  vectorizers: [
+    weaviate.configure.vectors.text2VecMorph({
+      name: 'title_vector',
+      sourceProperties: ['title'],
+    }),
+  ],
+  // highlight-end
+  // Additional parameters not shown
+});
+// END BasicVectorizerMorph
+
+// Clean up
+await client.collections.delete('DemoCollection');
+
+// START FullVectorizerMorph
+await client.collections.create({
+  name: 'DemoCollection',
+  properties: [
+    {
+      name: 'title',
+      dataType: 'text' as const,
+    },
+  ],
+  // highlight-start
+  vectorizers: [
+    weaviate.configure.vectors.text2VecMorph({
+      name: 'title_vector',
+      sourceProperties: ['title'],
+      model: 'morph-embedding-v3',
+      baseURL: 'https://api.morphllm.com',  // Scheme and host only
+    }),
+  ],
+  // highlight-end
+  // Additional parameters not shown
+});
+// END FullVectorizerMorph
+
+// Clean up
+await client.collections.delete('DemoCollection');
+
 // START BasicVectorizerNVIDIA
 await client.collections.create({
   name: 'DemoCollection',
diff --git a/docs/weaviate/model-providers/index.md b/docs/weaviate/model-providers/index.md
index 20c49da2b..af850fd88 100644
--- a/docs/weaviate/model-providers/index.md
+++ b/docs/weaviate/model-providers/index.md
@@ -30,6 +30,7 @@ This enables an enhanced developed experience, such as the ability to:
 | [Hugging Face](./huggingface/index.md) | [Text](./huggingface/embeddings.md) | - | - |
 | [Jina AI](./jinaai/index.md) | [Text](./jinaai/embeddings.md), [Multimodal](./jinaai/embeddings-multimodal.md) | - | [Reranker](./jinaai/reranker.md) |
 | [Mistral](./mistral/index.md) | [Text](./mistral/embeddings.md) | [Text](./mistral/generative.md) | - |
+| [Morph](./morph/index.md) | [Text](./morph/embeddings.md) | - | - |
 | [NVIDIA](./nvidia/index.md) | [Text](./nvidia/embeddings.md), [Multimodal](./nvidia/embeddings-multimodal.md) | [Text](./nvidia/generative.md) | [Reranker](./nvidia/reranker.md) |
 | [OctoAI (Deprecated)](./octoai/index.md) | [Text](./octoai/embeddings.md) | [Text](./octoai/generative.md) | - |
 | [OpenAI](./openai/index.md) | [Text](./openai/embeddings.md) | [Text](./openai/generative.md) | - |
diff --git a/docs/weaviate/model-providers/morph/_category_.json b/docs/weaviate/model-providers/morph/_category_.json
new file mode 100644
index 000000000..2acd1075a
--- /dev/null
+++ b/docs/weaviate/model-providers/morph/_category_.json
@@ -0,0 +1,4 @@
+{
+    "label": "Morph",
+    "position": 245.5
+}
diff --git a/docs/weaviate/model-providers/morph/embeddings.md b/docs/weaviate/model-providers/morph/embeddings.md
new file mode 100644
index 000000000..ef200a06b
--- /dev/null
+++ b/docs/weaviate/model-providers/morph/embeddings.md
@@ -0,0 +1,279 @@
+---
+title: Text Embeddings
+sidebar_position: 20
+image: og/docs/model-provider-integrations.jpg
+# tags: ['model providers', 'morph', 'embeddings']
+---
+
+# Morph Embeddings with Weaviate
+
+import Tabs from '@theme/Tabs';
+import TabItem from '@theme/TabItem';
+import FilteredTextBlock from '@site/src/components/Documentation/FilteredTextBlock';
+import PyConnect from '!!raw-loader!../_includes/provider.connect.py';
+import TSConnect from '!!raw-loader!../_includes/provider.connect.ts';
+import PyCode from '!!raw-loader!../_includes/provider.vectorizer.py';
+import TSCode from '!!raw-loader!../_includes/provider.vectorizer.ts';
+import JavaV6Code from "!!raw-loader!/_includes/code/java-v6/src/test/java/ModelProvidersTest.java";
+import CSharpCode from "!!raw-loader!/_includes/code/csharp/ModelProvidersTest.cs";
+
+Weaviate's integration with [Morph's API](https://docs.morphllm.com/api-reference/endpoint/embedding) lets you access Morph-hosted embedding models directly from Weaviate.
+
+[Configure a Weaviate vector index](#configure-the-vectorizer) to use a Morph embedding model, and Weaviate generates embeddings for imports and searches automatically using your Morph API key. This is the *vectorizer*.
+
+At [import time](#data-import), Weaviate generates text object embeddings and saves them into the index. For [vector](#vector-near-text-search) and [hybrid](#hybrid-search) search operations, Weaviate converts text queries into embeddings.
+
+![Embedding integration illustration](../_includes/integration_morph_embedding.png)
+
+:::caution Morph lists the Embedding API as legacy
+Morph's own documentation labels the [Embedding API](https://docs.morphllm.com/api-reference/endpoint/embedding) as legacy and planned for deprecation. Check the current status with Morph before you build on this integration.
+:::
+
+## Requirements
+
+### Weaviate configuration
+
+Your Weaviate instance must have the `text2vec-morph` module enabled. The module is available in Weaviate `v1.32.6` and later.
+
+<details>
+  <summary>For Weaviate Cloud (WCD) users</summary>
+
+This integration is enabled by default on Weaviate Cloud (WCD) instances.
+
+</details>
+
+<details>
+  <summary>For self-hosted users</summary>
+
+- Check the [cluster metadata](/deploy/configuration/status.md#cluster-metadata) to verify if the module is enabled.
+- Follow the [how-to configure modules](../../configuration/modules.md) guide to enable the module in Weaviate.
+
+</details>
+
+### API credentials {#api-credentials}
+
+You must provide a Morph API key to Weaviate for this integration. Generate one in the [Morph dashboard](https://morphllm.com/) and supply it via one of:
+
+- Set the `MORPH_APIKEY` environment variable on the Weaviate server.
+- Provide the `X-Openai-Api-Key` header at request time, as shown below.
+
+Weaviate builds Morph requests with its OpenAI-compatible client, so the request header is `X-Openai-Api-Key`. There is no Morph-specific header. A key provided in the header takes precedence over the server environment variable.
+
+:::caution The missing-key error names the wrong environment variable
+When no key is available, Weaviate reports:
+
+```
+no api key found neither in request header: X-Openai-Api-Key nor in environment variable under OPENAI_APIKEY
+```
+
+The header name in that message is correct, but the environment variable name is not. This integration reads `MORPH_APIKEY`. Setting `OPENAI_APIKEY` does not make it work.
+:::
+
+<Tabs className="code" groupId="languages">
+  <TabItem value="py" label="Python">
+    <FilteredTextBlock
+      text={PyConnect}
+      startMarker="# START MorphInstantiation"
+      endMarker="# END MorphInstantiation"
+      language="py"
+    />
+  </TabItem>
+  <TabItem value="ts" label="JavaScript/TypeScript">
+    <FilteredTextBlock
+      text={TSConnect}
+      startMarker="// START MorphInstantiation"
+      endMarker="// END MorphInstantiation"
+      language="ts"
+    />
+  </TabItem>
+  <TabItem value="java" label="Java">
+    <FilteredTextBlock
+      text={JavaV6Code}
+      startMarker="// START MorphInstantiation"
+      endMarker="// END MorphInstantiation"
+      language="java"
+    />
+  </TabItem>
+  <TabItem value="csharp" label="C#">
+    <FilteredTextBlock
+      text={CSharpCode}
+      startMarker="// START MorphInstantiation"
+      endMarker="// END MorphInstantiation"
+      language="csharp"
+    />
+  </TabItem>
+</Tabs>
+
+:::note One header serves two integrations
+`X-Openai-Api-Key` is also the header for the [OpenAI integration](../openai/embeddings.md). A single request therefore cannot carry different keys for the two integrations. If you use both in the same instance, set the server environment variables instead so each integration gets its own key.
+:::
+
+## Configure the vectorizer
+
+[Configure a Weaviate index](../../manage-collections/vector-config.mdx#specify-a-vectorizer) to use a Morph embedding model by setting the vectorizer as follows:
+
+<Tabs className="code" groupId="languages">
+  <TabItem value="py" label="Python">
+    <FilteredTextBlock
+      text={PyCode}
+      startMarker="# START BasicVectorizerMorph"
+      endMarker="# END BasicVectorizerMorph"
+      language="py"
+    />
+  </TabItem>
+  <TabItem value="ts" label="JavaScript/TypeScript">
+    <FilteredTextBlock
+      text={TSCode}
+      startMarker="// START BasicVectorizerMorph"
+      endMarker="// END BasicVectorizerMorph"
+      language="ts"
+    />
+  </TabItem>
+  <TabItem value="java" label="Java">
+    <FilteredTextBlock
+      text={JavaV6Code}
+      startMarker="// START BasicVectorizerMorph"
+      endMarker="// END BasicVectorizerMorph"
+      language="java"
+    />
+  </TabItem>
+  <TabItem value="csharp" label="C#">
+    <FilteredTextBlock
+      text={CSharpCode}
+      startMarker="// START BasicVectorizerMorph"
+      endMarker="// END BasicVectorizerMorph"
+      language="csharp"
+    />
+  </TabItem>
+</Tabs>
+
+import VectorizationBehavior from '/_includes/vectorization.behavior.mdx';
+
+<details>
+  <summary>Vectorization behavior</summary>
+
+<VectorizationBehavior/>
+
+</details>
+
+### Vectorizer parameters
+
+- `model`: The Morph model id. Defaults to `morph-embedding-v3`.
+- `baseURL`: The scheme and host that requests are sent to. Defaults to `https://api.morphllm.com`.
+- `endpoint`: The API path that Weaviate appends to the base URL. Defaults to `/v1/embeddings`. Set it if the service you target uses a different path.
+
+For how Weaviate combines `baseURL` and `endpoint` into a request URL, see [Header parameters](#header-parameters).
+
+:::info `endpoint` availability
+Added in `v1.38.2` (backported to `v1.36.19` and `v1.37.10`).
+:::
+
+Weaviate stores `baseURL` and `model` in the collection configuration even when you do not set them, because the module supplies a default for each. `endpoint` is different: it appears in the stored configuration only when you set it explicitly. If you read a collection back and see no `endpoint`, the default path applies.
+
+No `dimensions` parameter is sent, so the embedding dimension is always the model's native size.
+
+#### Example configuration
+
+The following examples set the Morph-specific options. Client libraries do not all expose the same options, so each example shows what that client supports.
+
+<Tabs className="code" groupId="languages">
+  <TabItem value="py" label="Python">
+    <FilteredTextBlock
+      text={PyCode}
+      startMarker="# START FullVectorizerMorph"
+      endMarker="# END FullVectorizerMorph"
+      language="py"
+    />
+  </TabItem>
+  <TabItem value="ts" label="JavaScript/TypeScript">
+    <FilteredTextBlock
+      text={TSCode}
+      startMarker="// START FullVectorizerMorph"
+      endMarker="// END FullVectorizerMorph"
+      language="ts"
+    />
+  </TabItem>
+  <TabItem value="java" label="Java">
+    <FilteredTextBlock
+      text={JavaV6Code}
+      startMarker="// START FullVectorizerMorph"
+      endMarker="// END FullVectorizerMorph"
+      language="java"
+    />
+  </TabItem>
+  <TabItem value="csharp" label="C#">
+    <FilteredTextBlock
+      text={CSharpCode}
+      startMarker="// START FullVectorizerMorph"
+      endMarker="// END FullVectorizerMorph"
+      language="csharp"
+    />
+  </TabItem>
+</Tabs>
+
+## Header parameters
+
+You can provide the API key and the base URL at runtime through headers. Headers provided at request time take precedence over the collection configuration and over the server environment variable:
+
+- `X-Openai-Api-Key`: The Morph API key for this request.
+- `X-Openai-Baseurl`: The base URL to use instead of the default.
+
+Provide the headers as shown in the [API credentials examples](#api-credentials) above.
+
+:::note How Weaviate builds the request URL
+
+Weaviate builds the request URL by appending the `endpoint` path (`/v1/embeddings` by default) to the base URL. The base URL supplies the scheme and host; `endpoint` supplies only the path. A value in `endpoint` cannot redirect requests to a different host.
+
+If a base URL already carries a path, that path is kept and the `endpoint` path is appended to it.
+
+There is no header that overrides `endpoint`. Set it in the collection configuration.
+
+:::
+
+:::note Error messages name the OpenAI API
+Because Weaviate uses its OpenAI-compatible client for this integration, upstream failures are reported as `connection to: OpenAI API failed with status: ...` even when the request was sent to Morph.
+:::
+
+## Data import
+
+After configuring the vectorizer, [import data](../../manage-objects/import.mdx) into Weaviate. Weaviate generates embeddings for text objects using [the configured model](#vectorizer-parameters).
+
+:::tip Re-use existing vectors
+If you already have a compatible model vector available, you can provide it directly to Weaviate. This can be useful if you have already generated embeddings using the same model and want to use them in Weaviate, such as when migrating data from another system.
+:::
+
+## Searches
+
+Once the vectorizer is configured, Weaviate performs vector and hybrid searches using the specified Morph model.
+
+![Embedding integration at search illustration](../_includes/integration_morph_embedding_search.png)
+
+### Vector (near text) search {#vector-near-text-search}
+
+When you perform a [vector search](../../search/similarity.md#search-with-text), Weaviate converts the text query into an embedding using the configured Morph model and returns the most similar objects.
+
+### Hybrid search {#hybrid-search}
+
+When you perform a [hybrid search](../../search/hybrid.md), Weaviate fuses keyword and vector ranking. The text query is embedded with the configured Morph model; the keyword side uses Weaviate's inverted index.
+
+## References
+
+### Available models
+
+Weaviate does not restrict which model id you can set, so any model the Morph API accepts can be used. `morph-embedding-v3` is the default. See the [Morph Embedding API documentation](https://docs.morphllm.com/api-reference/endpoint/embedding) for the current catalogue, as availability and dimensions can change.
+
+## Further resources
+
+### Other integrations
+
+- [Weaviate model providers overview](../index.md)
+
+### Code examples
+
+Once the vectorizer is configured, Weaviate handles model inference transparently. The standard [client library how-tos](../../client-libraries/index.mdx) apply unchanged. No Morph-specific code is required at query or import time beyond the configuration shown above.
+
+## Questions and feedback
+
+import DocsFeedback from '/_includes/docs-feedback.mdx';
+
+<DocsFeedback/>
diff --git a/docs/weaviate/model-providers/morph/index.md b/docs/weaviate/model-providers/morph/index.md
new file mode 100644
index 000000000..32edacc64
--- /dev/null
+++ b/docs/weaviate/model-providers/morph/index.md
@@ -0,0 +1,42 @@
+---
+title: Morph + Weaviate
+sidebar_position: 10
+image: og/docs/model-provider-integrations.jpg
+# tags: ['model providers', 'morph']
+---
+
+<!-- Note: for images, use https://docs.google.com/presentation/d/15opIcJuaIjEEcs_1Zm8B6pccox2p7_MHSjCnRv4dPfU/edit?usp=sharing -->
+
+[Morph](https://morphllm.com/) serves code and text embedding models behind an OpenAI-compatible API. Weaviate integrates with Morph's embedding endpoint so you can vectorize and search data using Morph-hosted models directly from your Weaviate instance.
+
+:::caution Morph lists the Embedding API as legacy
+Morph's own documentation labels the [Embedding API](https://docs.morphllm.com/api-reference/endpoint/embedding) as legacy and planned for deprecation. Check the current status with Morph before you build on this integration.
+:::
+
+## Integrations with Morph
+
+### Embedding models for vector search
+
+![Embedding integration illustration](../_includes/integration_morph_embedding.png)
+
+Morph exposes embedding models over an OpenAI-compatible `/v1/embeddings` API at `https://api.morphllm.com`.
+
+[Weaviate integrates with Morph's embedding models](./embeddings.md) through the `text2vec-morph` vectorizer module. Configure a vector index to use a Morph model and Weaviate generates embeddings for imports, vector searches, and hybrid searches automatically.
+
+[Morph embedding integration page](./embeddings.md)
+
+## Summary
+
+This integration lets you use Morph's hosted embedding models from Weaviate without managing inference infrastructure yourself.
+
+## Get started
+
+Generate an API key in the [Morph dashboard](https://morphllm.com/), then supply it to Weaviate through the `MORPH_APIKEY` environment variable or the `X-Openai-Api-Key` request header. The header name is shared with the OpenAI integration, because Morph requests are built by the same OpenAI-compatible client inside Weaviate. Then see the embedding integration page:
+
+- [Text Embeddings](./embeddings.md)
+
+## Questions and feedback
+
+import DocsFeedback from '/_includes/docs-feedback.mdx';
+
+<DocsFeedback/>
diff --git a/sidebars.js b/sidebars.js
index 69a9f679d..339dfdc64 100644
--- a/sidebars.js
+++ b/sidebars.js
@@ -310,6 +310,16 @@ const sidebars = {
                 "weaviate/model-providers/mistral/generative",
               ],
             },
+            {
+              type: "category",
+              label: "Morph",
+              className: "sidebar-item",
+              link: {
+                type: "doc",
+                id: "weaviate/model-providers/morph/index",
+              },
+              items: ["weaviate/model-providers/morph/embeddings"],
+            },
             {
               type: "category",
               label: "NVIDIA",

From 2109ef7bf92cb4982075cca424547aa4a0c218ff Mon Sep 17 00:00:00 2001
From: Ivan Despot <66276597+g-despot@users.noreply.github.com>
Date: Thu, 13 Aug 2026 08:35:52 +0200
Subject: [PATCH 17/35] docs: add the multi2vec-twelvelabs model provider page
 set

Creates /model-providers/twelvelabs/embeddings-multimodal, the exact URL
the Python client docstring links to, which has been a 404 until now.

TwelveLabs is best known for video, but this integration vectorizes text
and images only. Verified against a live server: nearVideo and nearAudio
do not exist as search arguments, and a videoFields entry is accepted and
stored but never read. The pages say so up front, since a reader arriving
from TwelveLabs' own material will assume otherwise.

Three settings that appear to work and do not: vectorizeClassName is
written into every such collection but never read, and per-property skip
and vectorizePropertyName have no effect. Property selection is purely
textFields and imageFields membership.

The integration is not rate limited. It sends one request per text value
and one per image, and processes batches of ten in parallel, so a large
import can produce a high request rate.

A collection naming neither field is accepted by the server and then
fails at insert with a misleading error. The page states the requirement
as intent rather than claiming the server validates it.

Only the typed vectorizer configuration is Python-only. Search and batch
import work from every client, so the page says that rather than
implying the whole integration is Python-only.
---
 .../integration_twelvelabs_embedding.png      | Bin 0 -> 263770 bytes
 ...ntegration_twelvelabs_embedding_search.png | Bin 0 -> 299021 bytes
 .../_includes/provider.connect.py             |   8 +
 .../_includes/provider.vectorizer.py          |  94 +++++
 docs/weaviate/model-providers/index.md        |   1 +
 .../twelvelabs/_category_.json                |   4 +
 .../twelvelabs/embeddings-multimodal.md       | 396 ++++++++++++++++++
 .../model-providers/twelvelabs/index.md       |  46 ++
 sidebars.js                                   |  12 +
 9 files changed, 561 insertions(+)
 create mode 100644 docs/weaviate/model-providers/_includes/integration_twelvelabs_embedding.png
 create mode 100644 docs/weaviate/model-providers/_includes/integration_twelvelabs_embedding_search.png
 create mode 100644 docs/weaviate/model-providers/twelvelabs/_category_.json
 create mode 100644 docs/weaviate/model-providers/twelvelabs/embeddings-multimodal.md
 create mode 100644 docs/weaviate/model-providers/twelvelabs/index.md

diff --git a/docs/weaviate/model-providers/_includes/integration_twelvelabs_embedding.png b/docs/weaviate/model-providers/_includes/integration_twelvelabs_embedding.png
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diff --git a/docs/weaviate/model-providers/_includes/provider.connect.py b/docs/weaviate/model-providers/_includes/provider.connect.py
index 022ba957d..65a4c9cd9 100644
--- a/docs/weaviate/model-providers/_includes/provider.connect.py
+++ b/docs/weaviate/model-providers/_includes/provider.connect.py
@@ -79,6 +79,10 @@
 # Recommended: save sensitive data as environment variables
 azure_key = os.getenv("AZURE_API_KEY")
 # END AzureOpenAIInstantiation
+# START TwelveLabsInstantiation
+# Recommended: save sensitive data as environment variables
+twelvelabs_key = os.getenv("TWELVELABS_APIKEY")
+# END TwelveLabsInstantiation
 # START VoyageAIInstantiation
 # Recommended: save sensitive data as environment variables
 voyageai_key = os.getenv("VOYAGEAI_API_KEY")
@@ -150,6 +154,10 @@
 # START AzureOpenAIInstantiation
     "X-Azure-Api-Key": azure_key,
 # END AzureOpenAIInstantiation
+# START TwelveLabsInstantiation
+    "X-Twelvelabs-Api-Key": twelvelabs_key,
+    "X-Twelvelabs-Baseurl": "https://api.twelvelabs.io/v1.3",  # Optional; for providing a custom base URL
+# END TwelveLabsInstantiation
 # START VoyageAIInstantiation
     "X-VoyageAI-Api-Key": voyageai_key,
 # END VoyageAIInstantiation
diff --git a/docs/weaviate/model-providers/_includes/provider.vectorizer.py b/docs/weaviate/model-providers/_includes/provider.vectorizer.py
index bc0b2400d..36c29f6c2 100644
--- a/docs/weaviate/model-providers/_includes/provider.vectorizer.py
+++ b/docs/weaviate/model-providers/_includes/provider.vectorizer.py
@@ -1148,6 +1148,100 @@
 # clean up
 client.collections.delete("DemoCollection")
 
+# START BasicMMVectorizerTwelveLabs
+from weaviate.classes.config import Configure, DataType, Multi2VecField, Property
+
+client.collections.create(
+    "DemoCollection",
+    # highlight-start
+    properties=[
+        Property(name="title", data_type=DataType.TEXT),
+        Property(name="poster", data_type=DataType.BLOB),
+    ],
+    vector_config=[
+        Configure.Vectors.multi2vec_twelvelabs(
+            name="title_vector",
+            # Define the fields to be used for the vectorization - using image_fields, text_fields
+            image_fields=[
+                Multi2VecField(name="poster", weight=0.9)
+            ],
+            text_fields=[
+                Multi2VecField(name="title", weight=0.1)
+            ],
+        )
+    ],
+    # highlight-end
+    # Additional parameters not shown
+)
+# END BasicMMVectorizerTwelveLabs
+
+# clean up
+client.collections.delete("DemoCollection")
+
+# START MMVectorizerTwelveLabsCustomModel
+from weaviate.classes.config import Configure, DataType, Multi2VecField, Property
+
+client.collections.create(
+    "DemoCollection",
+    # highlight-start
+    properties=[
+        Property(name="title", data_type=DataType.TEXT),
+        Property(name="poster", data_type=DataType.BLOB),
+    ],
+    vector_config=[
+        Configure.Vectors.multi2vec_twelvelabs(
+            name="title_vector",
+            model="marengo3.0",
+            # Define the fields to be used for the vectorization - using image_fields, text_fields
+            image_fields=[
+                Multi2VecField(name="poster", weight=0.9)
+            ],
+            text_fields=[
+                Multi2VecField(name="title", weight=0.1)
+            ],
+        )
+    ],
+    # highlight-end
+    # Additional parameters not shown
+)
+# END MMVectorizerTwelveLabsCustomModel
+
+# clean up
+client.collections.delete("DemoCollection")
+
+# START FullMMVectorizerTwelveLabs
+from weaviate.classes.config import Configure, DataType, Multi2VecField, Property
+
+client.collections.create(
+    "DemoCollection",
+    # highlight-start
+    properties=[
+        Property(name="title", data_type=DataType.TEXT),
+        Property(name="poster", data_type=DataType.BLOB),
+    ],
+    vector_config=[
+        Configure.Vectors.multi2vec_twelvelabs(
+            name="title_vector",
+            # Define the fields to be used for the vectorization - using image_fields, text_fields
+            image_fields=[
+                Multi2VecField(name="poster", weight=0.9)
+            ],
+            text_fields=[
+                Multi2VecField(name="title", weight=0.1)
+            ],
+            # Further options
+            # model="marengo3.0",
+            # base_url="https://api.twelvelabs.io/v1.3",
+        )
+    ],
+    # highlight-end
+    # Additional parameters not shown
+)
+# END FullMMVectorizerTwelveLabs
+
+# clean up
+client.collections.delete("DemoCollection")
+
 # START BasicVectorizerVoyageAI
 from weaviate.classes.config import Configure
 
diff --git a/docs/weaviate/model-providers/index.md b/docs/weaviate/model-providers/index.md
index 20c49da2b..4b5718dbc 100644
--- a/docs/weaviate/model-providers/index.md
+++ b/docs/weaviate/model-providers/index.md
@@ -34,6 +34,7 @@ This enables an enhanced developed experience, such as the ability to:
 | [OctoAI (Deprecated)](./octoai/index.md) | [Text](./octoai/embeddings.md) | [Text](./octoai/generative.md) | - |
 | [OpenAI](./openai/index.md) | [Text](./openai/embeddings.md) | [Text](./openai/generative.md) | - |
 | [Azure OpenAI](./openai-azure/index.md) | [Text](./openai-azure/embeddings.md) | [Text](./openai-azure/generative.md) | - |
+| [TwelveLabs](./twelvelabs/index.md) | [Multimodal](./twelvelabs/embeddings-multimodal.md) | - | - |
 | [Voyage AI](./voyageai/index.md) | [Text](./voyageai/embeddings.md), [Multimodal](./voyageai/embeddings-multimodal.md) | - | [Reranker](./voyageai/reranker.md) |
 | [Weaviate](./weaviate/index.md) | [Text](./weaviate/embeddings.md), [Multimodal](./weaviate/embeddings-multimodal.md) | - | - |
 | [xAI](./xai/index.md) | - | [Text](./xai/generative.md) | - |
diff --git a/docs/weaviate/model-providers/twelvelabs/_category_.json b/docs/weaviate/model-providers/twelvelabs/_category_.json
new file mode 100644
index 000000000..6ca8d7718
--- /dev/null
+++ b/docs/weaviate/model-providers/twelvelabs/_category_.json
@@ -0,0 +1,4 @@
+{
+    "label": "TwelveLabs",
+    "position": 260
+}
diff --git a/docs/weaviate/model-providers/twelvelabs/embeddings-multimodal.md b/docs/weaviate/model-providers/twelvelabs/embeddings-multimodal.md
new file mode 100644
index 000000000..21f4cd182
--- /dev/null
+++ b/docs/weaviate/model-providers/twelvelabs/embeddings-multimodal.md
@@ -0,0 +1,396 @@
+---
+title: Multimodal Embeddings
+description: "Weaviate's integration with TwelveLabs' APIs allows you to access their models' capabilities directly from Weaviate."
+sidebar_position: 25
+image: og/docs/model-provider-integrations.jpg
+# tags: ['model providers', 'twelvelabs', 'embeddings']
+---
+
+# TwelveLabs Multimodal Embeddings with Weaviate
+
+import Tabs from '@theme/Tabs';
+import TabItem from '@theme/TabItem';
+import FilteredTextBlock from '@site/src/components/Documentation/FilteredTextBlock';
+import PyConnect from '!!raw-loader!../_includes/provider.connect.py';
+import PyCode from '!!raw-loader!../_includes/provider.vectorizer.py';
+
+Weaviate's integration with TwelveLabs' APIs allows you to access their models' capabilities directly from Weaviate.
+
+[Configure a Weaviate vector index](#configure-the-vectorizer) to use a TwelveLabs embedding model, and Weaviate will generate embeddings for various operations using the specified model and your TwelveLabs API key. This feature is called the *vectorizer*.
+
+At [import time](#data-import), Weaviate generates multimodal object embeddings and saves them into the index. For [vector](#vector-near-text-search) and [hybrid](#hybrid-search) search operations, Weaviate converts text queries into embeddings. [Multimodal search operations](#vector-near-image-search) are also supported.
+
+:::caution Text and images only
+TwelveLabs is best known for video understanding, but this integration vectorizes **text and images only**. Video and audio are not supported.
+
+The vectorizer reads only the `textFields` and `imageFields` settings, and only `nearText` and `nearImage` search operations are available. Weaviate stores a `videoFields` entry if you add one to a collection definition, but nothing reads it, so it has no effect.
+:::
+
+![Embedding integration illustration](../_includes/integration_twelvelabs_embedding.png)
+
+## Requirements
+
+### Weaviate configuration
+
+Your Weaviate instance must be configured with the TwelveLabs vectorizer integration (`multi2vec-twelvelabs`) module.
+
+:::info Added in `v1.38.9`
+This integration is available in Weaviate `v1.38.9`, `v1.39.0` and later.
+:::
+
+<details>
+  <summary>For Weaviate Cloud (WCD) users</summary>
+
+This integration is enabled by default on Weaviate Cloud (WCD) instances.
+
+</details>
+
+<details>
+  <summary>For self-hosted users</summary>
+
+- Check the [cluster metadata](/deploy/configuration/status.md#cluster-metadata) to verify if the module is enabled.
+- Follow the [how-to configure modules](../../configuration/modules.md) guide to enable the module in Weaviate.
+
+</details>
+
+### API credentials
+
+You must provide a valid TwelveLabs API key to Weaviate for this integration. Go to [TwelveLabs](https://www.twelvelabs.io/) to sign up and obtain an API key.
+
+Provide the API key to Weaviate using one of the following methods:
+
+- Set the `TWELVELABS_APIKEY` environment variable that is available to Weaviate.
+- Provide the API key at runtime, as shown in the examples below.
+
+<Tabs className="code" groupId="languages">
+
+ <TabItem value="py" label="Python">
+    <FilteredTextBlock
+      text={PyConnect}
+      startMarker="# START TwelveLabsInstantiation"
+      endMarker="# END TwelveLabsInstantiation"
+      language="py"
+    />
+  </TabItem>
+
+  <TabItem value="curl" label="cURL">
+
+```bash
+curl http://localhost:8080/v1/graphql \
+  -H "Content-Type: application/json" \
+  -H "X-Twelvelabs-Api-Key: $TWELVELABS_APIKEY" \
+  -H "X-Twelvelabs-Baseurl: https://api.twelvelabs.io/v1.3" \
+  -d '{"query": "{ Get { DemoCollection(nearText: {concepts: [\"A holiday film\"]}, limit: 2) { title } } }"}'
+```
+
+  </TabItem>
+
+</Tabs>
+
+The `X-Twelvelabs-Baseurl` header is optional. It overrides the base URL that is set in the collection definition for the duration of the request.
+
+## Configure the vectorizer
+
+[Configure a Weaviate index](../../manage-collections/vector-config.mdx#specify-a-vectorizer) as follows to use a TwelveLabs embedding model.
+
+Name the properties that hold your text in `textFields`, and the properties that hold your base64 encoded images in `imageFields`. Set at least one of the two. A collection that names no fields cannot produce a vector, and inserts into it fail with a `more than one embedding found for object` error.
+
+<Tabs className="code" groupId="languages">
+  <TabItem value="py" label="Python">
+    <FilteredTextBlock
+      text={PyCode}
+      startMarker="# START BasicMMVectorizerTwelveLabs"
+      endMarker="# END BasicMMVectorizerTwelveLabs"
+      language="py"
+    />
+  </TabItem>
+
+  <TabItem value="curl" label="cURL">
+
+```bash
+curl -X POST http://localhost:8080/v1/schema \
+  -H "Content-Type: application/json" \
+  -d '{
+    "class": "DemoCollection",
+    "properties": [
+      {"name": "title", "dataType": ["text"]},
+      {"name": "poster", "dataType": ["blob"]}
+    ],
+    "vectorConfig": {
+      "title_vector": {
+        "vectorizer": {
+          "multi2vec-twelvelabs": {
+            "textFields": ["title"],
+            "imageFields": ["poster"],
+            "weights": {
+              "textFields": [0.1],
+              "imageFields": [0.9]
+            }
+          }
+        },
+        "vectorIndexType": "hnsw"
+      }
+    }
+  }'
+```
+
+  </TabItem>
+
+</Tabs>
+
+:::info Client availability
+A typed configuration API for this integration is currently available in the Python client only. If `Configure.Vectors.multi2vec_twelvelabs` is missing from your installation, upgrade to the latest Python client version.
+
+With any other client library, configure the vectorizer by sending the collection definition as shown in the cURL example above, or by passing the equivalent module configuration map that your client accepts. Data import and search operations are not specific to this integration and work with every client library.
+:::
+
+### Select a model
+
+You can specify one of the [available models](#available-models) for the vectorizer to use, as shown in the following configuration example.
+
+<Tabs className="code" groupId="languages">
+  <TabItem value="py" label="Python">
+    <FilteredTextBlock
+      text={PyCode}
+      startMarker="# START MMVectorizerTwelveLabsCustomModel"
+      endMarker="# END MMVectorizerTwelveLabsCustomModel"
+      language="py"
+    />
+  </TabItem>
+
+  <TabItem value="curl" label="cURL">
+
+```bash
+curl -X POST http://localhost:8080/v1/schema \
+  -H "Content-Type: application/json" \
+  -d '{
+    "class": "DemoCollection",
+    "properties": [
+      {"name": "title", "dataType": ["text"]},
+      {"name": "poster", "dataType": ["blob"]}
+    ],
+    "vectorConfig": {
+      "title_vector": {
+        "vectorizer": {
+          "multi2vec-twelvelabs": {
+            "textFields": ["title"],
+            "imageFields": ["poster"],
+            "model": "marengo3.0"
+          }
+        },
+        "vectorIndexType": "hnsw"
+      }
+    }
+  }'
+```
+
+  </TabItem>
+
+</Tabs>
+
+You can [specify](#vectorizer-parameters) one of the [available models](#available-models) for Weaviate to use. The [default model](#available-models) is used if no model is specified.
+
+import VectorizationBehavior from '/_includes/vectorization.behavior.mdx';
+
+<details>
+  <summary>Vectorization behavior</summary>
+
+<VectorizationBehavior/>
+
+</details>
+
+### Vectorizer parameters
+
+The following examples show how to configure TwelveLabs-specific options.
+
+<Tabs className="code" groupId="languages">
+  <TabItem value="py" label="Python">
+    <FilteredTextBlock
+      text={PyCode}
+      startMarker="# START FullMMVectorizerTwelveLabs"
+      endMarker="# END FullMMVectorizerTwelveLabs"
+      language="py"
+    />
+  </TabItem>
+
+  <TabItem value="curl" label="cURL">
+
+```bash
+curl -X POST http://localhost:8080/v1/schema \
+  -H "Content-Type: application/json" \
+  -d '{
+    "class": "DemoCollection",
+    "properties": [
+      {"name": "title", "dataType": ["text"]},
+      {"name": "poster", "dataType": ["blob"]}
+    ],
+    "vectorConfig": {
+      "title_vector": {
+        "vectorizer": {
+          "multi2vec-twelvelabs": {
+            "textFields": ["title"],
+            "imageFields": ["poster"],
+            "weights": {
+              "textFields": [0.1],
+              "imageFields": [0.9]
+            },
+            "model": "marengo3.0",
+            "baseURL": "https://api.twelvelabs.io/v1.3"
+          }
+        },
+        "vectorIndexType": "hnsw"
+      }
+    }
+  }'
+```
+
+  </TabItem>
+
+</Tabs>
+
+The collection definition accepts the following settings:
+
+| Setting | Description |
+| --- | --- |
+| `textFields` | Names of the `text` and `text[]` properties to vectorize. Each element of a `text[]` property is vectorized separately. |
+| `imageFields` | Names of the properties that hold base64 encoded images, typically `blob` properties. A `text[]` property listed here is ignored. |
+| `weights` | Relative weights for combining the field vectors, given as `textFields` and `imageFields` arrays. Each array must have the same number of entries as the field list it weights. The weights are normalized so that they sum to 1. If no weights are set, all fields are weighted equally. |
+| `model` | The model to use. The default is `marengo3.0`. |
+| `baseURL` | The base URL of the TwelveLabs API. The default is `https://api.twelvelabs.io/v1.3`. |
+
+In the Python client, these settings are named `text_fields`, `image_fields`, `model` and `base_url`. Weights are set per field with `Multi2VecField(name=..., weight=...)`.
+
+:::note Settings that have no effect
+Weaviate writes a `vectorizeClassName` setting into every collection that uses this integration, but this integration does not read it. Its value does not change the vectors that are produced, and the collection name is never included in the vectorized text.
+
+The per-property `skip` and `vectorizePropertyName` settings also have no effect here. Property selection is determined only by `textFields` and `imageFields` membership, and property names are never vectorized.
+:::
+
+For further details on model parameters, see the [TwelveLabs documentation](https://docs.twelvelabs.io/).
+
+## Data import
+
+After configuring the vectorizer, [import data](../../manage-objects/import.mdx) into Weaviate. Weaviate generates embeddings for text and image objects using the specified model.
+
+Provide image data as a base64 encoded string. A `data:<mediatype>;base64,` prefix is accepted and stripped before decoding. A property that is listed in `imageFields` but does not hold valid base64 data fails the import with a `decode base64 image` error.
+
+<Tabs className="code" groupId="languages">
+
+ <TabItem value="py" label="Python">
+    <FilteredTextBlock
+      text={PyCode}
+      startMarker="# START MMBatchImportExample"
+      endMarker="# END MMBatchImportExample"
+      language="py"
+    />
+  </TabItem>
+
+</Tabs>
+
+:::warning This integration is not rate limited
+Weaviate does not throttle its requests to TwelveLabs for this integration, and it does not read rate limit response headers. It sends one request per text value and one request per image, and it processes batches of ten objects in parallel, so a large import can produce a high request rate.
+
+If TwelveLabs rejects a request, the error surfaces as a failed import for that object and is not retried. Pace large imports from the client side, for example by importing in smaller batches.
+:::
+
+:::tip Re-use existing vectors
+If you already have a compatible model vector available, you can provide it directly to Weaviate. This can be useful if you have already generated embeddings using the same model and want to use them in Weaviate, such as when migrating data from another system.
+:::
+
+## Searches
+
+Once the vectorizer is configured, Weaviate will perform vector and hybrid search operations using the specified TwelveLabs model.
+
+![Embedding integration at search illustration](../_includes/integration_twelvelabs_embedding_search.png)
+
+The examples below use the Python client. Search operations are not specific to this integration, so see the [How-to: Query & Search](../../search/index.mdx) guides for the equivalent examples in the other client libraries.
+
+### Vector (near text) search
+
+When you perform a [vector search](../../search/similarity.md#search-with-text), Weaviate converts the text query into an embedding using the specified model and returns the most similar objects from the database.
+
+The query below returns the `n` most similar objects from the database, set by `limit`.
+
+<Tabs className="code" groupId="languages">
+
+ <TabItem value="py" label="Python">
+    <FilteredTextBlock
+      text={PyCode}
+      startMarker="# START NearTextExample"
+      endMarker="# END NearTextExample"
+      language="py"
+    />
+  </TabItem>
+
+</Tabs>
+
+### Hybrid search
+
+:::info What is a hybrid search?
+A hybrid search performs a vector search and a keyword (BM25) search, before [combining the results](../../search/hybrid.md#change-the-fusion-method) to return the best matching objects from the database.
+:::
+
+When you perform a [hybrid search](../../search/hybrid.md), Weaviate converts the text query into an embedding using the specified model and returns the best scoring objects from the database.
+
+The query below returns the `n` best scoring objects from the database, set by `limit`.
+
+<Tabs className="code" groupId="languages">
+
+ <TabItem value="py" label="Python">
+    <FilteredTextBlock
+      text={PyCode}
+      startMarker="# START HybridExample"
+      endMarker="# END HybridExample"
+      language="py"
+    />
+  </TabItem>
+
+</Tabs>
+
+### Vector (near image) search
+
+When you perform a [near image search](../../search/similarity.md#search-with-image), Weaviate converts the query into an embedding using the specified model and returns the most similar objects from the database.
+
+To perform a near image search, convert the image query into a base64 string and pass it to the search query.
+
+The query below returns the `n` most similar objects to the input image from the database, set by `limit`.
+
+<Tabs className="code" groupId="languages">
+
+ <TabItem value="py" label="Python">
+    <FilteredTextBlock
+      text={PyCode}
+      startMarker="# START NearImageExample"
+      endMarker="# END NearImageExample"
+      language="py"
+    />
+  </TabItem>
+
+</Tabs>
+
+## References
+
+### Available models
+
+The default model is `marengo3.0`, which produces 512-dimensional vectors.
+
+Weaviate does not validate the model name, so you can set any model that the TwelveLabs embedding endpoint accepts for your account. Weaviate does not publish the list of accepted names; see the [TwelveLabs documentation on creating embeddings](https://docs.twelvelabs.io/v1.3/docs/guides/create-embeddings) for the models that are currently available.
+
+## Further resources
+
+### Code examples
+
+Once the integrations are configured at the collection, the data management and search operations in Weaviate work identically to any other collection. See the following model-agnostic examples:
+
+- The [How-to: Manage collections](../../manage-collections/index.mdx) and [How-to: Manage objects](../../manage-objects/index.mdx) guides show how to perform data operations (i.e. create, read, update, delete collections and objects within them).
+- The [How-to: Query & Search](../../search/index.mdx) guides show how to perform search operations (i.e. vector, keyword, hybrid) as well as retrieval augmented generation.
+
+### External resources
+
+- [TwelveLabs documentation](https://docs.twelvelabs.io/)
+
+## Questions and feedback
+
+import DocsFeedback from '/_includes/docs-feedback.mdx';
+
+<DocsFeedback/>
diff --git a/docs/weaviate/model-providers/twelvelabs/index.md b/docs/weaviate/model-providers/twelvelabs/index.md
new file mode 100644
index 000000000..2f1e7c1d0
--- /dev/null
+++ b/docs/weaviate/model-providers/twelvelabs/index.md
@@ -0,0 +1,46 @@
+---
+title: TwelveLabs + Weaviate
+sidebar_position: 10
+image: og/docs/model-provider-integrations.jpg
+# tags: ['model providers', 'twelvelabs']
+---
+
+<!-- Note: for images, use https://docs.google.com/presentation/d/15opIcJuaIjEEcs_1Zm8B6pccox2p7_MHSjCnRv4dPfU/edit?usp=sharing -->
+
+TwelveLabs builds multimodal understanding models. Weaviate integrates with the TwelveLabs embedding API, so you can vectorize your data and your queries with a TwelveLabs model without leaving the Weaviate Database.
+
+:::caution Text and images only
+TwelveLabs is best known for video understanding, but this Weaviate integration works with **text and images only**. Video and audio are not supported.
+:::
+
+## Integrations with TwelveLabs
+
+### Embedding models for vector search
+
+![Embedding integration illustration](../_includes/integration_twelvelabs_embedding.png)
+
+TwelveLabs' embedding models place text and images in a shared vector space, so that a text query can retrieve images and vice versa.
+
+[Weaviate integrates with TwelveLabs' embedding models](./embeddings-multimodal.md) to enable seamless vectorization of data. This integration allows users to perform semantic and hybrid search operations without the need for additional preprocessing or data transformation steps.
+
+[TwelveLabs multimodal embedding integration page](./embeddings-multimodal.md)
+
+## Summary
+
+This integration enables developers to use TwelveLabs' multimodal embedding models within Weaviate.
+
+In turn, it simplifies the process of building AI-driven applications to speed up your development process, so that you can focus on creating innovative solutions.
+
+## Get started
+
+You must provide a valid TwelveLabs API key to Weaviate for this integration. Go to [TwelveLabs](https://www.twelvelabs.io/) to sign up and obtain an API key.
+
+Then, go to the relevant integration page to learn how to configure Weaviate with the TwelveLabs models and start using them in your applications.
+
+- [Multimodal Embeddings](./embeddings-multimodal.md)
+
+## Questions and feedback
+
+import DocsFeedback from '/_includes/docs-feedback.mdx';
+
+<DocsFeedback/>
diff --git a/sidebars.js b/sidebars.js
index 69a9f679d..b4a9cf6f9 100644
--- a/sidebars.js
+++ b/sidebars.js
@@ -364,6 +364,18 @@ const sidebars = {
                 "weaviate/model-providers/openai-azure/generative",
               ],
             },
+            {
+              type: "category",
+              label: "TwelveLabs",
+              className: "sidebar-item",
+              link: {
+                type: "doc",
+                id: "weaviate/model-providers/twelvelabs/index",
+              },
+              items: [
+                "weaviate/model-providers/twelvelabs/embeddings-multimodal",
+              ],
+            },
             {
               type: "category",
               label: "VoyageAI",

From fee24b693b055900ebb8dbee3a9a583ea53b720f Mon Sep 17 00:00:00 2001
From: Ivan Despot <66276597+g-despot@users.noreply.github.com>
Date: Thu, 13 Aug 2026 08:54:57 +0200
Subject: [PATCH 18/35] fix(morph): replace the dead Morph Embedding API links

https://docs.morphllm.com/api-reference/endpoint/embedding returns 404.
It was cited four times and turned validate-links-dev red.

Morph removed the embedding pages from their published docs entirely.
Verified against every one of the 91 URLs in their sitemap (all 200):
none is an embedding page. /api-reference/endpoint/embedding,
/api-reference/endpoint/embeddings, /api-reference/embedding,
/models/embedding, /models/embeddings, /embedding, /embeddings and
/sdk/components/embedding(s) all 404. The rest of the /api-reference/
tree is alive, so only the embedding pages were pulled.

No live Morph page carries the "legacy, planned for deprecation"
wording any more, so there is no specific page to repoint the caution
at. The wording survives verbatim only in their llms-full.txt dump,
which is not a reasonable target for a reader. The caution therefore
keeps its prose unlinked and sends the reader to the docs root to
check current status, which is what the sentence already asked them to
do. The claim is unchanged and still scoped to what Morph's docs say.

The Available models reference gets a genuine specific target instead:
/api-reference/endpoint/models documents GET /v1/models, which returns
the model ids a key can use. That is what the sentence promises.

Every URL in the page set now returns 200. The two 401s
(api.morphllm.com, the Google Slides note) are inline code and an HTML
comment, not rendered links, and the latter is boilerplate on every
provider index page.

Refs board a9bf4a68: whether the models themselves are retired is
still open and is deliberately not asserted here.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
---
 docs/weaviate/model-providers/morph/embeddings.md | 6 +++---
 docs/weaviate/model-providers/morph/index.md      | 2 +-
 2 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/docs/weaviate/model-providers/morph/embeddings.md b/docs/weaviate/model-providers/morph/embeddings.md
index ef200a06b..317ff25e4 100644
--- a/docs/weaviate/model-providers/morph/embeddings.md
+++ b/docs/weaviate/model-providers/morph/embeddings.md
@@ -17,7 +17,7 @@ import TSCode from '!!raw-loader!../_includes/provider.vectorizer.ts';
 import JavaV6Code from "!!raw-loader!/_includes/code/java-v6/src/test/java/ModelProvidersTest.java";
 import CSharpCode from "!!raw-loader!/_includes/code/csharp/ModelProvidersTest.cs";
 
-Weaviate's integration with [Morph's API](https://docs.morphllm.com/api-reference/endpoint/embedding) lets you access Morph-hosted embedding models directly from Weaviate.
+Weaviate's integration with [Morph's API](https://docs.morphllm.com/) lets you access Morph-hosted embedding models directly from Weaviate.
 
 [Configure a Weaviate vector index](#configure-the-vectorizer) to use a Morph embedding model, and Weaviate generates embeddings for imports and searches automatically using your Morph API key. This is the *vectorizer*.
 
@@ -26,7 +26,7 @@ At [import time](#data-import), Weaviate generates text object embeddings and sa
 ![Embedding integration illustration](../_includes/integration_morph_embedding.png)
 
 :::caution Morph lists the Embedding API as legacy
-Morph's own documentation labels the [Embedding API](https://docs.morphllm.com/api-reference/endpoint/embedding) as legacy and planned for deprecation. Check the current status with Morph before you build on this integration.
+Morph's own documentation labels the Embedding API as legacy and planned for deprecation. Check the current status in [Morph's documentation](https://docs.morphllm.com/) before you build on this integration.
 :::
 
 ## Requirements
@@ -260,7 +260,7 @@ When you perform a [hybrid search](../../search/hybrid.md), Weaviate fuses keywo
 
 ### Available models
 
-Weaviate does not restrict which model id you can set, so any model the Morph API accepts can be used. `morph-embedding-v3` is the default. See the [Morph Embedding API documentation](https://docs.morphllm.com/api-reference/endpoint/embedding) for the current catalogue, as availability and dimensions can change.
+Weaviate does not restrict which model id you can set, so any model the Morph API accepts can be used. `morph-embedding-v3` is the default. Morph's [list models endpoint](https://docs.morphllm.com/api-reference/endpoint/models) returns the model ids your key can use. Check it before you rely on a model id, as availability and dimensions can change.
 
 ## Further resources
 
diff --git a/docs/weaviate/model-providers/morph/index.md b/docs/weaviate/model-providers/morph/index.md
index 32edacc64..2220aa159 100644
--- a/docs/weaviate/model-providers/morph/index.md
+++ b/docs/weaviate/model-providers/morph/index.md
@@ -10,7 +10,7 @@ image: og/docs/model-provider-integrations.jpg
 [Morph](https://morphllm.com/) serves code and text embedding models behind an OpenAI-compatible API. Weaviate integrates with Morph's embedding endpoint so you can vectorize and search data using Morph-hosted models directly from your Weaviate instance.
 
 :::caution Morph lists the Embedding API as legacy
-Morph's own documentation labels the [Embedding API](https://docs.morphllm.com/api-reference/endpoint/embedding) as legacy and planned for deprecation. Check the current status with Morph before you build on this integration.
+Morph's own documentation labels the Embedding API as legacy and planned for deprecation. Check the current status in [Morph's documentation](https://docs.morphllm.com/) before you build on this integration.
 :::
 
 ## Integrations with Morph

From dfd74503c65382733a19599bf98661a453653000 Mon Sep 17 00:00:00 2001
From: Ivan Despot <66276597+g-despot@users.noreply.github.com>
Date: Thu, 13 Aug 2026 10:18:10 +0200
Subject: [PATCH 19/35] Potential fix for pull request finding

Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
---
 _includes/code/java-v6/src/test/java/ModelProvidersTest.java | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/_includes/code/java-v6/src/test/java/ModelProvidersTest.java b/_includes/code/java-v6/src/test/java/ModelProvidersTest.java
index c47e6fef3..e4cd99c14 100644
--- a/_includes/code/java-v6/src/test/java/ModelProvidersTest.java
+++ b/_includes/code/java-v6/src/test/java/ModelProvidersTest.java
@@ -172,7 +172,7 @@ void testMorphVectorizerFull() throws IOException {
             .vectorConfig(VectorConfig.text2vecMorph("title_vector",
                 c -> c.sourceProperties("title")
                     .model("morph-embedding-v3")
-                    .baseUrl("https://api.morphllm.com") // Scheme and host only
+                    .baseUrl("https://api.morphllm.com") // Base URL; an existing path is preserved
                     .endpoint("/v1/embeddings"))) // Path appended to the base URL
             .properties(Property.text("title"), Property.text("description")));
     // END FullVectorizerMorph

From 43811d41103c2171d5d6e90ccad371897b04c664 Mon Sep 17 00:00:00 2001
From: Ivan Despot <66276597+g-despot@users.noreply.github.com>
Date: Thu, 13 Aug 2026 10:18:23 +0200
Subject: [PATCH 20/35] Potential fix for pull request finding

Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
---
 docs/weaviate/model-providers/_includes/provider.vectorizer.ts | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/weaviate/model-providers/_includes/provider.vectorizer.ts b/docs/weaviate/model-providers/_includes/provider.vectorizer.ts
index 51b517445..72b75ad0b 100644
--- a/docs/weaviate/model-providers/_includes/provider.vectorizer.ts
+++ b/docs/weaviate/model-providers/_includes/provider.vectorizer.ts
@@ -890,7 +890,7 @@ await client.collections.create({
       name: 'title_vector',
       sourceProperties: ['title'],
       model: 'morph-embedding-v3',
-      baseURL: 'https://api.morphllm.com',  // Scheme and host only
+      baseURL: 'https://api.morphllm.com',  // Base URL; an existing path is preserved
     }),
   ],
   // highlight-end

From ea899cd1423100076d921deabaf9d6194033e5b2 Mon Sep 17 00:00:00 2001
From: Ivan Despot <66276597+g-despot@users.noreply.github.com>
Date: Thu, 13 Aug 2026 10:18:31 +0200
Subject: [PATCH 21/35] Potential fix for pull request finding

Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
---
 docs/weaviate/model-providers/_includes/provider.vectorizer.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/weaviate/model-providers/_includes/provider.vectorizer.py b/docs/weaviate/model-providers/_includes/provider.vectorizer.py
index cf3e62aaa..593b956f0 100644
--- a/docs/weaviate/model-providers/_includes/provider.vectorizer.py
+++ b/docs/weaviate/model-providers/_includes/provider.vectorizer.py
@@ -757,7 +757,7 @@
             name="title_vector",
             source_properties=["title"],
             model="morph-embedding-v3",
-            base_url="https://api.morphllm.com",  # Scheme and host only
+            base_url="https://api.morphllm.com",  # Base URL; an existing path is preserved
             endpoint="/v1/embeddings",            # Path appended to the base URL
         )
     ],

From dad1c2d7f37563833b1127f2090952270c62c50c Mon Sep 17 00:00:00 2001
From: Ivan Despot <66276597+g-despot@users.noreply.github.com>
Date: Thu, 13 Aug 2026 10:18:47 +0200
Subject: [PATCH 22/35] Potential fix for pull request finding

Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
---
 docs/weaviate/model-providers/morph/embeddings.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/weaviate/model-providers/morph/embeddings.md b/docs/weaviate/model-providers/morph/embeddings.md
index 317ff25e4..6909a8b74 100644
--- a/docs/weaviate/model-providers/morph/embeddings.md
+++ b/docs/weaviate/model-providers/morph/embeddings.md
@@ -159,7 +159,7 @@ import VectorizationBehavior from '/_includes/vectorization.behavior.mdx';
 ### Vectorizer parameters
 
 - `model`: The Morph model id. Defaults to `morph-embedding-v3`.
-- `baseURL`: The scheme and host that requests are sent to. Defaults to `https://api.morphllm.com`.
+- `baseURL`: The base URL prefix that requests are sent to. Any existing path is preserved when `endpoint` is appended. Defaults to `https://api.morphllm.com`.
 - `endpoint`: The API path that Weaviate appends to the base URL. Defaults to `/v1/embeddings`. Set it if the service you target uses a different path.
 
 For how Weaviate combines `baseURL` and `endpoint` into a request URL, see [Header parameters](#header-parameters).

From 9a86e5b92b823d4bed0221a36ca7993e5f6abc11 Mon Sep 17 00:00:00 2001
From: Ivan Despot <66276597+g-despot@users.noreply.github.com>
Date: Fri, 26 Jun 2026 23:06:53 +0200
Subject: [PATCH 23/35] docs: add generative-deepseek model provider
 integration page

Document the new generative-deepseek module (DeepSeek as a generative/RAG
provider), available from v1.36.19, v1.37.10, and v1.38.2.

- New provider pages model-providers/deepseek/{index,generative}.md (Python only for now)
- Document the X-Deepseek-Api-Key and X-Deepseek-Baseurl headers and the
  DEEPSEEK_APIKEY env var
- Config keys (model, temperature, maxTokens, frequencyPenalty,
  presencePenalty, topP, baseURL, stop) with defaults
- Recommend deepseek-v4-flash / deepseek-v4-pro; note deepseek-chat and
  deepseek-reasoner are legacy aliases (deprecated 2026-07-24 per DeepSeek)
- Add DeepSeek to the model-providers table and sidebar
- Python snippets show the intended Configure.Generative.deepseek(...) syntax
  (client support to follow); kept out of the CI snippet allowlist
---
 .../_includes/provider.connect.py             |   8 +
 .../_includes/provider.generative.py          | 104 +++++++++
 .../model-providers/deepseek/generative.md    | 200 ++++++++++++++++++
 .../model-providers/deepseek/index.md         |  42 ++++
 docs/weaviate/model-providers/index.md        |   1 +
 sidebars.js                                   |  10 +
 6 files changed, 365 insertions(+)
 create mode 100644 docs/weaviate/model-providers/deepseek/generative.md
 create mode 100644 docs/weaviate/model-providers/deepseek/index.md

diff --git a/docs/weaviate/model-providers/_includes/provider.connect.py b/docs/weaviate/model-providers/_includes/provider.connect.py
index 449cbb503..0843511ed 100644
--- a/docs/weaviate/model-providers/_includes/provider.connect.py
+++ b/docs/weaviate/model-providers/_includes/provider.connect.py
@@ -33,6 +33,10 @@
 # Recommended: save sensitive data as environment variables
 databricks_token = os.getenv("DATABRICKS_TOKEN")
 # END DatabricksInstantiation
+# START DeepseekInstantiation
+# Recommended: save sensitive data as environment variables
+deepseek_key = os.getenv("DEEPSEEK_APIKEY")
+# END DeepseekInstantiation
 # START DigitalOceanInstantiation
 # Recommended: save sensitive data as environment variables
 digitalocean_key = os.getenv("DIGITALOCEAN_APIKEY")
@@ -122,6 +126,10 @@
 # START DatabricksInstantiation
     "X-Databricks-Token": databricks_token,
 # END DatabricksInstantiation
+# START DeepseekInstantiation
+    "X-Deepseek-Api-Key": deepseek_key,
+    # "X-Deepseek-Baseurl": "https://api.deepseek.com",  # Optional; for providing a custom base URL
+# END DeepseekInstantiation
 # START DigitalOceanInstantiation
     "X-Digitalocean-Api-Key": digitalocean_key,
 # END DigitalOceanInstantiation
diff --git a/docs/weaviate/model-providers/_includes/provider.generative.py b/docs/weaviate/model-providers/_includes/provider.generative.py
index 4cd4d43f2..d923f3304 100644
--- a/docs/weaviate/model-providers/_includes/provider.generative.py
+++ b/docs/weaviate/model-providers/_includes/provider.generative.py
@@ -858,6 +858,110 @@ def import_data():
 # clean up
 client.collections.delete("DemoCollection")
 
+# ---------------------------------------------------------------------------
+# DeepSeek generative integration (generative-deepseek).
+#
+# These snippets are documented AHEAD of Python client support:
+# `Configure.Generative.deepseek()` and `GenerativeConfig.deepseek()` do not
+# yet exist in the released weaviate-client (pinned in pyproject.toml). The
+# blocks below are DISPLAY-ONLY — they are rendered in the docs via
+# FilteredTextBlock (with `language="pyindent"`, which strips the 4-space guard
+# indent) and are intentionally kept out of the test runner's allowlist in
+# tests/test_python.py. The `if DEEPSEEK_CLIENT_AVAILABLE:` guard is a
+# belt-and-suspenders measure so that even if this file is ever executed
+# end-to-end, the not-yet-released `deepseek()` calls can never run.
+# TODO: set DEEPSEEK_CLIENT_AVAILABLE = True and drop `pyindent` once the
+# weaviate-client ships Configure.Generative.deepseek() / GenerativeConfig.deepseek().
+# ---------------------------------------------------------------------------
+DEEPSEEK_CLIENT_AVAILABLE = False
+
+if DEEPSEEK_CLIENT_AVAILABLE:
+    # START BasicGenerativeDeepseek
+    from weaviate.classes.config import Configure
+
+    client.collections.create(
+        "DemoCollection",
+        # highlight-start
+        generative_config=Configure.Generative.deepseek()
+        # highlight-end
+        # Additional parameters not shown
+    )
+    # END BasicGenerativeDeepseek
+
+    # clean up
+    client.collections.delete("DemoCollection")
+
+    # START GenerativeDeepseekCustomModel
+    from weaviate.classes.config import Configure
+
+    client.collections.create(
+        "DemoCollection",
+        # highlight-start
+        generative_config=Configure.Generative.deepseek(
+            model="deepseek-v4-flash"
+        )
+        # highlight-end
+        # Additional parameters not shown
+    )
+    # END GenerativeDeepseekCustomModel
+
+    # clean up
+    client.collections.delete("DemoCollection")
+
+    # START FullGenerativeDeepseek
+    from weaviate.classes.config import Configure
+
+    client.collections.create(
+        "DemoCollection",
+        # highlight-start
+        generative_config=Configure.Generative.deepseek(
+            # # These parameters are optional
+            # model="deepseek-v4-flash",
+            # temperature=0.7,
+            # max_tokens=500,
+            # frequency_penalty=0.0,
+            # presence_penalty=0.0,
+            # top_p=1.0,
+            # base_url="https://api.deepseek.com",
+            # stop=["\n\n"],
+        )
+        # highlight-end
+    )
+    # END FullGenerativeDeepseek
+
+    # clean up
+    client.collections.delete("DemoCollection")
+    import_data()
+
+    # START RuntimeModelSelectionDeepseek
+    from weaviate.classes.config import Configure
+    from weaviate.classes.generate import GenerativeConfig
+
+    collection = client.collections.use("DemoCollection")
+    response = collection.generate.near_text(
+        query="A holiday film",
+        limit=2,
+        grouped_task="Write a tweet promoting these two movies",
+        # highlight-start
+        generative_provider=GenerativeConfig.deepseek(
+            # # These parameters are optional
+            # model="deepseek-v4-flash",
+            # temperature=0.7,
+            # max_tokens=500,
+            # frequency_penalty=0.0,
+            # presence_penalty=0.0,
+            # top_p=1.0,
+            # base_url="https://api.deepseek.com",
+            # stop=["\n\n"],
+        ),
+        # Additional parameters not shown
+        # highlight-end
+    )
+    # END RuntimeModelSelectionDeepseek
+
+    # clean up
+    client.collections.delete("DemoCollection")
+
 # START BasicGenerativeNVIDIA
 from weaviate.classes.config import Configure
 
diff --git a/docs/weaviate/model-providers/deepseek/generative.md b/docs/weaviate/model-providers/deepseek/generative.md
new file mode 100644
index 000000000..5a3c0beed
--- /dev/null
+++ b/docs/weaviate/model-providers/deepseek/generative.md
@@ -0,0 +1,200 @@
+---
+title: Generative AI
+description: "Weaviate's integration with DeepSeek's API allows you to access their generative models' capabilities directly from Weaviate."
+sidebar_position: 50
+image: og/docs/model-provider-integrations.jpg
+# tags: ['model providers', 'deepseek', 'generative', 'rag']
+---
+
+# DeepSeek Generative AI with Weaviate
+
+import FilteredTextBlock from '@site/src/components/Documentation/FilteredTextBlock';
+import PyConnect from '!!raw-loader!../_includes/provider.connect.py';
+import PyCode from '!!raw-loader!../_includes/provider.generative.py';
+
+Weaviate's integration with DeepSeek's API allows you to access their generative models' capabilities directly from Weaviate.
+
+[Configure a Weaviate collection](#configure-collection) to use a generative AI model with DeepSeek. Weaviate will perform retrieval augmented generation (RAG) using the specified model and your DeepSeek API key.
+
+More specifically, Weaviate will perform a search, retrieve the most relevant objects, and then pass them to the DeepSeek generative model to generate outputs.
+
+:::info Code examples are Python-only for now
+This page currently shows Python examples only. The typed builder syntax shown below (`Configure.Generative.deepseek()`) is the intended Python client API; client support is being implemented to match it. Other client languages will be added once the corresponding client support ships.
+:::
+
+## Requirements
+
+### Weaviate configuration
+
+Your Weaviate instance must be configured with the DeepSeek generative AI integration (`generative-deepseek`) module.
+
+:::info Added in `v1.36.19`, `v1.37.10`, and `v1.38.2`
+The `generative-deepseek` module was added as a coordinated backport across the `v1.36`, `v1.37`, and `v1.38` release lines. It is available from `v1.36.19` (on the `v1.36` line), `v1.37.10` (on the `v1.37` line), and `v1.38.2` (on the `v1.38` line). Earlier patch releases on these lines do not include the module.
+:::
+
+<details>
+  <summary>For Weaviate Cloud (WCD) users</summary>
+
+This integration is enabled by default on Weaviate Cloud (WCD) instances.
+
+</details>
+
+<details>
+  <summary>For self-hosted users</summary>
+
+- Check the [cluster metadata](/deploy/configuration/status.md#cluster-metadata) to verify if the module is enabled.
+- Follow the [how-to configure modules](../../configuration/modules.md) guide to enable the module in Weaviate.
+- To enable the module, include it in the `ENABLE_MODULES` environment variable available to Weaviate, e.g. `ENABLE_MODULES="generative-deepseek"` (add it to your existing comma-separated list if other modules are enabled).
+
+</details>
+
+### API credentials
+
+You must provide a valid DeepSeek API key to Weaviate for this integration. Go to [DeepSeek](https://platform.deepseek.com/) to sign up and obtain an API key.
+
+Provide the API key to Weaviate using one of the following methods:
+
+- Set the `DEEPSEEK_APIKEY` environment variable that is available to Weaviate.
+- Provide the API key at runtime, as shown in the examples below.
+
+<FilteredTextBlock
+  text={PyConnect}
+  startMarker="# START DeepseekInstantiation"
+  endMarker="# END DeepseekInstantiation"
+  language="py"
+/>
+
+## Configure collection
+
+import MutableGenerativeConfig from '/_includes/mutable-generative-config.md';
+
+<MutableGenerativeConfig />
+
+[Configure a Weaviate index](../../manage-collections/generative-reranker-models.mdx#specify-a-generative-model-integration) as follows to use a DeepSeek generative model:
+
+<FilteredTextBlock
+  text={PyCode}
+  startMarker="# START BasicGenerativeDeepseek"
+  endMarker="# END BasicGenerativeDeepseek"
+  language="pyindent"
+/>
+
+### Select a model
+
+You can specify one of the [available models](#available-models) for Weaviate to use, as shown in the following configuration example:
+
+<FilteredTextBlock
+  text={PyCode}
+  startMarker="# START GenerativeDeepseekCustomModel"
+  endMarker="# END GenerativeDeepseekCustomModel"
+  language="pyindent"
+/>
+
+You can [specify](#generative-parameters) one of the [available models](#available-models) for Weaviate to use. The [default model](#available-models) is used if no model is specified.
+
+### Generative parameters
+
+Configure the following generative parameters to customize the model behavior.
+
+<FilteredTextBlock
+  text={PyCode}
+  startMarker="# START FullGenerativeDeepseek"
+  endMarker="# END FullGenerativeDeepseek"
+  language="pyindent"
+/>
+
+For further details on model parameters, see the [DeepSeek API documentation](https://api-docs.deepseek.com/).
+
+## Select a model at runtime
+
+Aside from setting the default model provider when creating the collection, you can also override it at query time.
+
+<FilteredTextBlock
+  text={PyCode}
+  startMarker="# START RuntimeModelSelectionDeepseek"
+  endMarker="# END RuntimeModelSelectionDeepseek"
+  language="pyindent"
+/>
+
+## Header parameters
+
+You can provide the API key as well as some optional parameters at runtime through additional headers in the request. The following headers are available:
+
+- `X-Deepseek-Api-Key`: The DeepSeek API key.
+- `X-Deepseek-Baseurl`: The base URL to use (e.g. a proxy) instead of the default DeepSeek URL.
+
+These headers are case-insensitive on the wire. Any additional headers provided at runtime will override the existing Weaviate configuration.
+
+Provide the headers as shown in the [API credentials examples](#api-credentials) above.
+
+## Retrieval augmented generation
+
+After configuring the generative AI integration, perform RAG operations, either with the [single prompt](#single-prompt) or [grouped task](#grouped-task) method.
+
+### Single prompt
+
+To generate text for each object in the search results, use the single prompt method.
+
+The example below generates outputs for each of the `n` search results, where `n` is specified by the `limit` parameter.
+
+When creating a single prompt query, use braces `{}` to interpolate the object properties you want Weaviate to pass on to the language model. For example, to pass on the object's `title` property, include `{title}` in the query.
+
+<FilteredTextBlock
+  text={PyCode}
+  startMarker="# START SinglePromptExample"
+  endMarker="# END SinglePromptExample"
+  language="py"
+/>
+
+### Grouped task
+
+To generate one text for the entire set of search results, use the grouped task method.
+
+In other words, when you have `n` search results, the generative model generates one output for the entire group.
+
+<FilteredTextBlock
+  text={PyCode}
+  startMarker="# START GroupedTaskExample"
+  endMarker="# END GroupedTaskExample"
+  language="py"
+/>
+
+## References
+
+### Available models
+
+Weaviate forwards the configured model name to DeepSeek as-is; there is no allowlist on the Weaviate side, so any current DeepSeek model id is accepted. We recommend setting `model` explicitly to one of the current models:
+
+* `deepseek-v4-flash` (recommended; verified with this integration)
+* `deepseek-v4-pro`
+
+The module's built-in default model is `deepseek-chat`.
+
+:::caution Legacy model aliases scheduled for deprecation
+According to [DeepSeek's pricing page](https://api-docs.deepseek.com/quick_start/pricing), `deepseek-chat` and `deepseek-reasoner` are legacy aliases scheduled for deprecation on **2026-07-24**, and they currently map to `deepseek-v4-flash` (in non-thinking and thinking modes, respectively). To avoid disruption, set `model` explicitly to a current `deepseek-v4-*` model id rather than relying on the default.
+:::
+
+:::note Reasoning output is not returned
+The `generative-deepseek` module returns only the model's message content. If you use a reasoning/thinking model, the separate reasoning (chain-of-thought) output is not surfaced through the integration.
+:::
+
+For the full list of models and pricing, see the [DeepSeek pricing page](https://api-docs.deepseek.com/quick_start/pricing) and the [DeepSeek API documentation](https://api-docs.deepseek.com/).
+
+## Further resources
+
+### Code examples
+
+Once the integration is configured at the collection, the data management and search operations in Weaviate work identically to any other collection. See the following model-agnostic examples:
+
+- The [How-to: Manage collections](../../manage-collections/index.mdx) and [How-to: Manage objects](../../manage-objects/index.mdx) guides show how to perform data operations (i.e. create, read, update, delete collections and objects within them).
+- The [How-to: Query & Search](../../search/index.mdx) guides show how to perform search operations (i.e. vector, keyword, hybrid) as well as retrieval augmented generation.
+
+### References
+
+- [DeepSeek API documentation](https://api-docs.deepseek.com/)
+
+## Questions and feedback
+
+import DocsFeedback from '/_includes/docs-feedback.mdx';
+
+<DocsFeedback/>
diff --git a/docs/weaviate/model-providers/deepseek/index.md b/docs/weaviate/model-providers/deepseek/index.md
new file mode 100644
index 000000000..62707257f
--- /dev/null
+++ b/docs/weaviate/model-providers/deepseek/index.md
@@ -0,0 +1,42 @@
+---
+title: DeepSeek + Weaviate
+sidebar_position: 10
+image: og/docs/model-provider-integrations.jpg
+# tags: ['model providers', 'deepseek']
+---
+
+<!-- Note: for images, use https://docs.google.com/presentation/d/15opIcJuaIjEEcs_1Zm8B6pccox2p7_MHSjCnRv4dPfU/edit?usp=sharing -->
+
+DeepSeek offers a range of models for natural language processing and generation. Weaviate seamlessly integrates with the DeepSeek API, allowing users to leverage DeepSeek's generative models directly from the Weaviate Database.
+
+This integration empowers developers to build sophisticated AI-driven applications with ease.
+
+## Integrations with DeepSeek
+
+### Generative AI models for RAG
+
+DeepSeek's generative AI models can generate human-like text based on given prompts and contexts.
+
+[Weaviate's generative AI integration](./generative.md) enables users to perform retrieval augmented generation (RAG) directly from the Weaviate Database. This combines Weaviate's efficient storage and fast retrieval capabilities with DeepSeek's generative AI models to generate personalized and context-aware responses.
+
+[DeepSeek generative AI integration page](./generative.md)
+
+## Summary
+
+This integration enables developers to leverage DeepSeek's generative models directly within Weaviate.
+
+In turn, it simplifies the process of building AI-driven applications to speed up your development process, so that you can focus on creating innovative solutions.
+
+## Get started
+
+You must provide a valid DeepSeek API key to Weaviate for this integration. Go to [DeepSeek](https://platform.deepseek.com/) to sign up and obtain an API key.
+
+Then, go to the relevant integration page to learn how to configure Weaviate with the DeepSeek models and start using them in your applications.
+
+- [Generative AI](./generative.md)
+
+## Questions and feedback
+
+import DocsFeedback from '/_includes/docs-feedback.mdx';
+
+<DocsFeedback/>
diff --git a/docs/weaviate/model-providers/index.md b/docs/weaviate/model-providers/index.md
index 614596685..dcd5c55e3 100644
--- a/docs/weaviate/model-providers/index.md
+++ b/docs/weaviate/model-providers/index.md
@@ -24,6 +24,7 @@ This enables an enhanced developed experience, such as the ability to:
 | [Cohere](./cohere/index.md) | [Text](./cohere/embeddings.md), [Multimodal](./cohere/embeddings-multimodal.md) | [Text](./cohere/generative.md) | [Reranker](./cohere/reranker.md) |
 | [Contextual AI](./contextualai/index.md) | - | [Text](./contextualai/generative.md) | [Reranker](./contextualai/reranker.md) |
 | [Databricks](./databricks/index.md) | [Text](./databricks/embeddings.md) | [Text](./databricks/generative.md) | - |
+| [DeepSeek](./deepseek/index.md) | - | [Text](./deepseek/generative.md) | - |
 | [DigitalOcean](./digitalocean/index.md) | [Text](./digitalocean/embeddings.md) | - | - |
 | [FriendliAI](./friendliai/index.md) | - | [Text](./friendliai/generative.md) | - |
 | [Google](./google/index.md) | [Text](./google/embeddings.md), [Multimodal](./google/embeddings-multimodal.md) | [Text](./google/generative.md) | - |
diff --git a/sidebars.js b/sidebars.js
index b5490d0cb..d6c16b846 100644
--- a/sidebars.js
+++ b/sidebars.js
@@ -238,6 +238,16 @@ const sidebars = {
                 "weaviate/model-providers/databricks/generative",
               ],
             },
+            {
+              type: "category",
+              label: "DeepSeek",
+              className: "sidebar-item",
+              link: {
+                type: "doc",
+                id: "weaviate/model-providers/deepseek/index",
+              },
+              items: ["weaviate/model-providers/deepseek/generative"],
+            },
             {
               type: "category",
               label: "DigitalOcean",

From 2a53a7f93eec744b7aeec4c956fdd5dc66a2db4e Mon Sep 17 00:00:00 2001
From: Ivan Despot <66276597+g-despot@users.noreply.github.com>
Date: Thu, 30 Jul 2026 13:59:22 +0200
Subject: [PATCH 24/35] docs: correct generative-deepseek model, header and
 timeout guidance

The page shipped with a deprecation notice written as a future event
(2026-07-24). That date has passed, so state it as settled fact:
deepseek-chat and deepseek-reasoner are retired and DeepSeek no longer
serves them.

Core still ships DefaultDeepSeekModel = "deepseek-chat"
(modules/generative-deepseek/config/class_settings.go:33, still true on
v1.38.7), so the page's basic no-model example resolved to a retired
alias. Present setting `model` as required rather than as an optional
refinement: drop the no-model example, lead "Configure collection" with
the warning and then the model-setting example, and disclose the
built-in default as a caution instead of a neutral fact. Name only the
current model names and link DeepSeek's pricing page rather than
maintaining a catalogue.

Correct "Header parameters", which was wrong. X-Deepseek-Api-Key does
not override collection config (there is no API key there); it overrides
the DEEPSEEK_APIKEY env var, and with neither set the request fails with
"api key: no api key found" (clients/deepseek.go:240-248).
X-Deepseek-Baseurl outranks the query-time baseURL param as well as the
collection baseURL (clients/deepseek.go:75, 232-238). Also note that the
base URL must be an API root, since Weaviate appends /chat/completions
to it.

Add two traps that were missing. MODULES_CLIENT_TIMEOUT defaults to 50s
and covers the whole request including the body read
(usecases/config/environment.go:869-876); the module's own acceptance
test raises it to 120s, so reasoning models need a note. And the
maxTokens ceiling is only consulted for the two retired aliases, so for
a current model a value above the model's limit passes validation and
only fails later as an error from DeepSeek; negative values are still
rejected for every model by the unconditional arm of the same check
(class_settings.go:89).

Fold the reasoning caveats into one "Reasoning models" subsection rather
than stacking admonitions, and link MODULES_CLIENT_TIMEOUT by its
APITable row anchor.

Update the Python snippet guard comment: Configure.Generative.deepseek()
and GenerativeConfig.deepseek() are merged upstream (PR #2084, commit
afc0e0eb) and signature-matched, but are not in a released client, so
the blocks stay display-only and out of the test allowlist.

Ignore platform.deepseek.com in the link validator; it 403s automated
requests but loads fine in a browser, matching existing entries.
---
 _build_scripts/link-validator.js              |  1 +
 .../_includes/provider.generative.py          | 41 ++++++++---------
 .../model-providers/deepseek/generative.md    | 46 +++++++++----------
 .../model-providers/deepseek/index.md         |  1 +
 4 files changed, 43 insertions(+), 46 deletions(-)

diff --git a/_build_scripts/link-validator.js b/_build_scripts/link-validator.js
index 2b3c8715b..eacdddacb 100644
--- a/_build_scripts/link-validator.js
+++ b/_build_scripts/link-validator.js
@@ -45,6 +45,7 @@ const domainsToIgnore = [
     'medium.com', // TODO[g-despot]: started throwing Forbidden 403 (incl. subdomains, e.g. *.medium.com)
     'https://www.npmjs.com',
     'https://openai.com',
+    'https://platform.deepseek.com', // 403s automated requests (site loads fine in a browser)
     'https://platform.openai.com',
     'https://www.researchgate.net',
     'https://simple/',
diff --git a/docs/weaviate/model-providers/_includes/provider.generative.py b/docs/weaviate/model-providers/_includes/provider.generative.py
index d923f3304..867d7e025 100644
--- a/docs/weaviate/model-providers/_includes/provider.generative.py
+++ b/docs/weaviate/model-providers/_includes/provider.generative.py
@@ -861,35 +861,32 @@ def import_data():
 # ---------------------------------------------------------------------------
 # DeepSeek generative integration (generative-deepseek).
 #
-# These snippets are documented AHEAD of Python client support:
-# `Configure.Generative.deepseek()` and `GenerativeConfig.deepseek()` do not
-# yet exist in the released weaviate-client (pinned in pyproject.toml). The
-# blocks below are DISPLAY-ONLY — they are rendered in the docs via
+# `Configure.Generative.deepseek()` and `GenerativeConfig.deepseek()` are
+# merged upstream on the Python client's main branch (PR #2084, commit
+# afc0e0eb, 2026-06-28), and the calls below match those signatures exactly
+# (keyword-only: base_url, model, temperature, max_tokens, frequency_penalty,
+# presence_penalty, top_p, stop). They are not in a released client yet: the
+# newest tag is v4.22.0 (2026-06-18), which predates that commit, and this
+# repo pins weaviate-client==4.22.0 in pyproject.toml.
+#
+# So the blocks below stay DISPLAY-ONLY: they are rendered in the docs via
 # FilteredTextBlock (with `language="pyindent"`, which strips the 4-space guard
 # indent) and are intentionally kept out of the test runner's allowlist in
 # tests/test_python.py. The `if DEEPSEEK_CLIENT_AVAILABLE:` guard is a
 # belt-and-suspenders measure so that even if this file is ever executed
-# end-to-end, the not-yet-released `deepseek()` calls can never run.
-# TODO: set DEEPSEEK_CLIENT_AVAILABLE = True and drop `pyindent` once the
-# weaviate-client ships Configure.Generative.deepseek() / GenerativeConfig.deepseek().
+# end-to-end, the `deepseek()` calls the pinned client lacks can never run.
+# TODO: once pyproject.toml pins a weaviate-client release that contains
+# afc0e0eb, set DEEPSEEK_CLIENT_AVAILABLE = True, unindent these blocks and
+# switch their FilteredTextBlock `language` from `pyindent` back to `py`, and
+# add this file to the allowlist in tests/test_python.py.
 # ---------------------------------------------------------------------------
 DEEPSEEK_CLIENT_AVAILABLE = False
 
 if DEEPSEEK_CLIENT_AVAILABLE:
-    # START BasicGenerativeDeepseek
-    from weaviate.classes.config import Configure
-
-    client.collections.create(
-        "DemoCollection",
-        # highlight-start
-        generative_config=Configure.Generative.deepseek()
-        # highlight-end
-        # Additional parameters not shown
-    )
-    # END BasicGenerativeDeepseek
-
-    # clean up
-    client.collections.delete("DemoCollection")
+    # NOTE: there is deliberately no "basic" no-model block for DeepSeek. The
+    # module's built-in default model is the retired `deepseek-chat` alias, so
+    # `Configure.Generative.deepseek()` with no arguments is not a usable
+    # example. Every documented DeepSeek block sets `model` explicitly.
 
     # START GenerativeDeepseekCustomModel
     from weaviate.classes.config import Configure
@@ -915,8 +912,8 @@ def import_data():
         "DemoCollection",
         # highlight-start
         generative_config=Configure.Generative.deepseek(
+            model="deepseek-v4-flash",
             # # These parameters are optional
-            # model="deepseek-v4-flash",
             # temperature=0.7,
             # max_tokens=500,
             # frequency_penalty=0.0,
diff --git a/docs/weaviate/model-providers/deepseek/generative.md b/docs/weaviate/model-providers/deepseek/generative.md
index 5a3c0beed..519bece9f 100644
--- a/docs/weaviate/model-providers/deepseek/generative.md
+++ b/docs/weaviate/model-providers/deepseek/generative.md
@@ -19,7 +19,7 @@ Weaviate's integration with DeepSeek's API allows you to access their generative
 More specifically, Weaviate will perform a search, retrieve the most relevant objects, and then pass them to the DeepSeek generative model to generate outputs.
 
 :::info Code examples are Python-only for now
-This page currently shows Python examples only. The typed builder syntax shown below (`Configure.Generative.deepseek()`) is the intended Python client API; client support is being implemented to match it. Other client languages will be added once the corresponding client support ships.
+Examples for the other client languages will follow.
 :::
 
 ## Requirements
@@ -29,7 +29,7 @@ This page currently shows Python examples only. The typed builder syntax shown b
 Your Weaviate instance must be configured with the DeepSeek generative AI integration (`generative-deepseek`) module.
 
 :::info Added in `v1.36.19`, `v1.37.10`, and `v1.38.2`
-The `generative-deepseek` module was added as a coordinated backport across the `v1.36`, `v1.37`, and `v1.38` release lines. It is available from `v1.36.19` (on the `v1.36` line), `v1.37.10` (on the `v1.37` line), and `v1.38.2` (on the `v1.38` line). Earlier patch releases on these lines do not include the module.
+The `generative-deepseek` module is available from `v1.36.19` on the `v1.36` line, `v1.37.10` on the `v1.37` line, and `v1.38.2` on the `v1.38` line. Earlier patch releases on these lines do not include it.
 :::
 
 <details>
@@ -70,27 +70,22 @@ import MutableGenerativeConfig from '/_includes/mutable-generative-config.md';
 
 <MutableGenerativeConfig />
 
+Always set `model` explicitly. The module's built-in default is a retired model alias, so a collection configured without a `model` points at a model that DeepSeek no longer serves. See [Available models](#available-models) for the current model names.
+
 [Configure a Weaviate index](../../manage-collections/generative-reranker-models.mdx#specify-a-generative-model-integration) as follows to use a DeepSeek generative model:
 
 <FilteredTextBlock
   text={PyCode}
-  startMarker="# START BasicGenerativeDeepseek"
-  endMarker="# END BasicGenerativeDeepseek"
+  startMarker="# START GenerativeDeepseekCustomModel"
+  endMarker="# END GenerativeDeepseekCustomModel"
   language="pyindent"
 />
 
 ### Select a model
 
-You can specify one of the [available models](#available-models) for Weaviate to use, as shown in the following configuration example:
-
-<FilteredTextBlock
-  text={PyCode}
-  startMarker="# START GenerativeDeepseekCustomModel"
-  endMarker="# END GenerativeDeepseekCustomModel"
-  language="pyindent"
-/>
+Specify any current DeepSeek model name. See [Available models](#available-models) for the current names, and [Generative parameters](#generative-parameters) for the other settings you can configure alongside it.
 
-You can [specify](#generative-parameters) one of the [available models](#available-models) for Weaviate to use. The [default model](#available-models) is used if no model is specified.
+You can also [override the model at query time](#select-a-model-at-runtime).
 
 ### Generative parameters
 
@@ -103,6 +98,8 @@ Configure the following generative parameters to customize the model behavior.
   language="pyindent"
 />
 
+Weaviate checks `maxTokens` against a built-in ceiling only for the retired `deepseek-chat` and `deepseek-reasoner` aliases. For any current model, a `maxTokens` above the model's limit is accepted when you create the collection and fails later, as an error from DeepSeek at query time.
+
 For further details on model parameters, see the [DeepSeek API documentation](https://api-docs.deepseek.com/).
 
 ## Select a model at runtime
@@ -123,7 +120,9 @@ You can provide the API key as well as some optional parameters at runtime throu
 - `X-Deepseek-Api-Key`: The DeepSeek API key.
 - `X-Deepseek-Baseurl`: The base URL to use (e.g. a proxy) instead of the default DeepSeek URL.
 
-These headers are case-insensitive on the wire. Any additional headers provided at runtime will override the existing Weaviate configuration.
+`X-Deepseek-Api-Key` takes precedence over the `DEEPSEEK_APIKEY` environment variable. The API key is never part of the collection configuration, so if neither the header nor the environment variable is set, the request fails with `api key: no api key found`.
+
+`X-Deepseek-Baseurl` takes precedence over a `baseURL` set at query time, which in turn takes precedence over the `baseURL` in the collection configuration. If none of them are set, Weaviate uses `https://api.deepseek.com`. Provide an API root rather than a full endpoint path, because Weaviate appends `/chat/completions` to it.
 
 Provide the headers as shown in the [API credentials examples](#api-credentials) above.
 
@@ -163,22 +162,21 @@ In other words, when you have `n` search results, the generative model generates
 
 ### Available models
 
-Weaviate forwards the configured model name to DeepSeek as-is; there is no allowlist on the Weaviate side, so any current DeepSeek model id is accepted. We recommend setting `model` explicitly to one of the current models:
+Weaviate forwards the configured model name to DeepSeek as-is. There is no allowlist on the Weaviate side, so any current DeepSeek model name is accepted.
 
-* `deepseek-v4-flash` (recommended; verified with this integration)
-* `deepseek-v4-pro`
+The current model names are `deepseek-v4-flash` and `deepseek-v4-pro`. For the full list of models and pricing, see the [DeepSeek pricing page](https://api-docs.deepseek.com/quick_start/pricing) and the [DeepSeek API documentation](https://api-docs.deepseek.com/).
 
-The module's built-in default model is `deepseek-chat`.
+:::caution The module default is a retired model
+The `deepseek-chat` and `deepseek-reasoner` aliases are retired and DeepSeek no longer serves them. They previously pointed at `deepseek-v4-flash` in its non-thinking and thinking modes respectively.
 
-:::caution Legacy model aliases scheduled for deprecation
-According to [DeepSeek's pricing page](https://api-docs.deepseek.com/quick_start/pricing), `deepseek-chat` and `deepseek-reasoner` are legacy aliases scheduled for deprecation on **2026-07-24**, and they currently map to `deepseek-v4-flash` (in non-thinking and thinking modes, respectively). To avoid disruption, set `model` explicitly to a current `deepseek-v4-*` model id rather than relying on the default.
+The built-in default model of the `generative-deepseek` module is still `deepseek-chat`, so a collection created without a `model` points at a retired alias. Set `model` on every collection you create.
 :::
 
-:::note Reasoning output is not returned
-The `generative-deepseek` module returns only the model's message content. If you use a reasoning/thinking model, the separate reasoning (chain-of-thought) output is not surfaced through the integration.
-:::
+### Reasoning models
+
+The `generative-deepseek` module returns only the model's message content. If you use a reasoning model, its separate reasoning (chain-of-thought) output is not surfaced through the integration.
 
-For the full list of models and pricing, see the [DeepSeek pricing page](https://api-docs.deepseek.com/quick_start/pricing) and the [DeepSeek API documentation](https://api-docs.deepseek.com/).
+Reasoning models can take much longer to respond than non-reasoning models. Weaviate applies the [`MODULES_CLIENT_TIMEOUT`](/deploy/configuration/env-vars/index.md#MODULES_CLIENT_TIMEOUT) environment variable to the whole request, including reading the response, and it defaults to 50 seconds. If reasoning queries time out, raise this value on your Weaviate instance.
 
 ## Further resources
 
diff --git a/docs/weaviate/model-providers/deepseek/index.md b/docs/weaviate/model-providers/deepseek/index.md
index 62707257f..b009ac18e 100644
--- a/docs/weaviate/model-providers/deepseek/index.md
+++ b/docs/weaviate/model-providers/deepseek/index.md
@@ -1,5 +1,6 @@
 ---
 title: DeepSeek + Weaviate
+description: "DeepSeek offers a range of models for natural language processing and generation. Weaviate seamlessly integrates with the DeepSeek API, allowing users to leverage DeepSeek's generative models directly from the Weaviate Database."
 sidebar_position: 10
 image: og/docs/model-provider-integrations.jpg
 # tags: ['model providers', 'deepseek']

From 577f4d543177482768ae7d1208df8bb024911096 Mon Sep 17 00:00:00 2001
From: Ivan Despot <66276597+g-despot@users.noreply.github.com>
Date: Thu, 30 Jul 2026 14:55:34 +0200
Subject: [PATCH 25/35] docs: add DeepSeek RAG integration illustrations

---
 .../_includes/integration_deepseek_rag.png     | Bin 0 -> 231949 bytes
 .../integration_deepseek_rag_grouped.png       | Bin 0 -> 231682 bytes
 .../integration_deepseek_rag_single.png        | Bin 0 -> 232461 bytes
 .../model-providers/deepseek/generative.md     |   6 ++++++
 .../weaviate/model-providers/deepseek/index.md |   2 ++
 5 files changed, 8 insertions(+)
 create mode 100644 docs/weaviate/model-providers/_includes/integration_deepseek_rag.png
 create mode 100644 docs/weaviate/model-providers/_includes/integration_deepseek_rag_grouped.png
 create mode 100644 docs/weaviate/model-providers/_includes/integration_deepseek_rag_single.png

diff --git a/docs/weaviate/model-providers/_includes/integration_deepseek_rag.png b/docs/weaviate/model-providers/_includes/integration_deepseek_rag.png
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diff --git a/docs/weaviate/model-providers/deepseek/generative.md b/docs/weaviate/model-providers/deepseek/generative.md
index 519bece9f..ce9a90b09 100644
--- a/docs/weaviate/model-providers/deepseek/generative.md
+++ b/docs/weaviate/model-providers/deepseek/generative.md
@@ -18,6 +18,8 @@ Weaviate's integration with DeepSeek's API allows you to access their generative
 
 More specifically, Weaviate will perform a search, retrieve the most relevant objects, and then pass them to the DeepSeek generative model to generate outputs.
 
+![RAG integration illustration](../_includes/integration_deepseek_rag.png)
+
 :::info Code examples are Python-only for now
 Examples for the other client languages will follow.
 :::
@@ -132,6 +134,8 @@ After configuring the generative AI integration, perform RAG operations, either
 
 ### Single prompt
 
+![Single prompt RAG integration generates individual outputs per search result](../_includes/integration_deepseek_rag_single.png)
+
 To generate text for each object in the search results, use the single prompt method.
 
 The example below generates outputs for each of the `n` search results, where `n` is specified by the `limit` parameter.
@@ -147,6 +151,8 @@ When creating a single prompt query, use braces `{}` to interpolate the object p
 
 ### Grouped task
 
+![Grouped task RAG integration generates one output for the set of search results](../_includes/integration_deepseek_rag_grouped.png)
+
 To generate one text for the entire set of search results, use the grouped task method.
 
 In other words, when you have `n` search results, the generative model generates one output for the entire group.
diff --git a/docs/weaviate/model-providers/deepseek/index.md b/docs/weaviate/model-providers/deepseek/index.md
index b009ac18e..ae10085f6 100644
--- a/docs/weaviate/model-providers/deepseek/index.md
+++ b/docs/weaviate/model-providers/deepseek/index.md
@@ -16,6 +16,8 @@ This integration empowers developers to build sophisticated AI-driven applicatio
 
 ### Generative AI models for RAG
 
+![Single prompt RAG integration generates individual outputs per search result](../_includes/integration_deepseek_rag_single.png)
+
 DeepSeek's generative AI models can generate human-like text based on given prompts and contexts.
 
 [Weaviate's generative AI integration](./generative.md) enables users to perform retrieval augmented generation (RAG) directly from the Weaviate Database. This combines Weaviate's efficient storage and fast retrieval capabilities with DeepSeek's generative AI models to generate personalized and context-aware responses.

From dba6cd38556b5497761ce637f78199975541a9d3 Mon Sep 17 00:00:00 2001
From: Ivan Despot <66276597+g-despot@users.noreply.github.com>
Date: Thu, 13 Aug 2026 15:08:07 +0200
Subject: [PATCH 26/35] docs: enable the DeepSeek snippets against the pinned
 client

The DeepSeek blocks shipped behind DEEPSEEK_CLIENT_AVAILABLE = False with a
TODO to lift the hold once pyproject.toml pinned a client release containing
Configure.Generative.deepseek() and GenerativeConfig.deepseek() (PR #2084,
commit afc0e0eb). This base pins weaviate-client==4.23.0, and both builders
exist at that tag with the keyword-only signature the snippets already use:
base_url, model, temperature, max_tokens, frequency_penalty, presence_penalty,
top_p, stop.

Per that TODO: set the flag to True, drop the now-empty guard and unindent the
three blocks, and switch their FilteredTextBlock language from pyindent back
to py, since there is no longer a guard indent to strip.

The TODO's fourth clause, adding this file to the allowlist in
tests/test_python.py, is deliberately not carried out. No model-provider
include is in that allowlist; it lists only files under _includes/code/.
Executing this file end to end would run every provider's snippets and require
a credential per provider, so these blocks stay display-only like every other
block in this file.
---
 .../_includes/provider.generative.py          | 161 ++++++++----------
 .../model-providers/deepseek/generative.md    |   6 +-
 2 files changed, 77 insertions(+), 90 deletions(-)

diff --git a/docs/weaviate/model-providers/_includes/provider.generative.py b/docs/weaviate/model-providers/_includes/provider.generative.py
index 867d7e025..b35d1c1c3 100644
--- a/docs/weaviate/model-providers/_includes/provider.generative.py
+++ b/docs/weaviate/model-providers/_includes/provider.generative.py
@@ -861,103 +861,90 @@ def import_data():
 # ---------------------------------------------------------------------------
 # DeepSeek generative integration (generative-deepseek).
 #
-# `Configure.Generative.deepseek()` and `GenerativeConfig.deepseek()` are
-# merged upstream on the Python client's main branch (PR #2084, commit
-# afc0e0eb, 2026-06-28), and the calls below match those signatures exactly
-# (keyword-only: base_url, model, temperature, max_tokens, frequency_penalty,
-# presence_penalty, top_p, stop). They are not in a released client yet: the
-# newest tag is v4.22.0 (2026-06-18), which predates that commit, and this
-# repo pins weaviate-client==4.22.0 in pyproject.toml.
-#
-# So the blocks below stay DISPLAY-ONLY: they are rendered in the docs via
-# FilteredTextBlock (with `language="pyindent"`, which strips the 4-space guard
-# indent) and are intentionally kept out of the test runner's allowlist in
-# tests/test_python.py. The `if DEEPSEEK_CLIENT_AVAILABLE:` guard is a
-# belt-and-suspenders measure so that even if this file is ever executed
-# end-to-end, the `deepseek()` calls the pinned client lacks can never run.
-# TODO: once pyproject.toml pins a weaviate-client release that contains
-# afc0e0eb, set DEEPSEEK_CLIENT_AVAILABLE = True, unindent these blocks and
-# switch their FilteredTextBlock `language` from `pyindent` back to `py`, and
-# add this file to the allowlist in tests/test_python.py.
+# `Configure.Generative.deepseek()` and `GenerativeConfig.deepseek()` (merged
+# upstream in PR #2084, commit afc0e0eb) ship in the client release pinned by
+# pyproject.toml, so the guard that kept these blocks unreachable is gone. The
+# calls below match the released keyword-only signatures exactly: base_url,
+# model, temperature, max_tokens, frequency_penalty, presence_penalty, top_p,
+# stop.
 # ---------------------------------------------------------------------------
-DEEPSEEK_CLIENT_AVAILABLE = False
+DEEPSEEK_CLIENT_AVAILABLE = True
 
-if DEEPSEEK_CLIENT_AVAILABLE:
-    # NOTE: there is deliberately no "basic" no-model block for DeepSeek. The
-    # module's built-in default model is the retired `deepseek-chat` alias, so
-    # `Configure.Generative.deepseek()` with no arguments is not a usable
-    # example. Every documented DeepSeek block sets `model` explicitly.
+# NOTE: there is deliberately no "basic" no-model block for DeepSeek. The
+# module's built-in default model is the retired `deepseek-chat` alias, so
+# `Configure.Generative.deepseek()` with no arguments is not a usable
+# example. Every documented DeepSeek block sets `model` explicitly.
 
-    # START GenerativeDeepseekCustomModel
-    from weaviate.classes.config import Configure
+# START GenerativeDeepseekCustomModel
+from weaviate.classes.config import Configure
 
-    client.collections.create(
-        "DemoCollection",
-        # highlight-start
-        generative_config=Configure.Generative.deepseek(
-            model="deepseek-v4-flash"
-        )
-        # highlight-end
-        # Additional parameters not shown
+client.collections.create(
+    "DemoCollection",
+    # highlight-start
+    generative_config=Configure.Generative.deepseek(
+        model="deepseek-v4-flash"
     )
-    # END GenerativeDeepseekCustomModel
+    # highlight-end
+    # Additional parameters not shown
+)
+# END GenerativeDeepseekCustomModel
 
-    # clean up
-    client.collections.delete("DemoCollection")
+# clean up
+client.collections.delete("DemoCollection")
 
-    # START FullGenerativeDeepseek
-    from weaviate.classes.config import Configure
+# START FullGenerativeDeepseek
+from weaviate.classes.config import Configure
 
-    client.collections.create(
-        "DemoCollection",
-        # highlight-start
-        generative_config=Configure.Generative.deepseek(
-            model="deepseek-v4-flash",
-            # # These parameters are optional
-            # temperature=0.7,
-            # max_tokens=500,
-            # frequency_penalty=0.0,
-            # presence_penalty=0.0,
-            # top_p=1.0,
-            # base_url="https://api.deepseek.com",
-            # stop=["\n\n"],
-        )
-        # highlight-end
-    )
-    # END FullGenerativeDeepseek
-
-    # clean up
-    client.collections.delete("DemoCollection")
-    import_data()
-
-    # START RuntimeModelSelectionDeepseek
-    from weaviate.classes.config import Configure
-    from weaviate.classes.generate import GenerativeConfig
-
-    collection = client.collections.use("DemoCollection")
-    response = collection.generate.near_text(
-        query="A holiday film",
-        limit=2,
-        grouped_task="Write a tweet promoting these two movies",
-        # highlight-start
-        generative_provider=GenerativeConfig.deepseek(
-            # # These parameters are optional
-            # model="deepseek-v4-flash",
-            # temperature=0.7,
-            # max_tokens=500,
-            # frequency_penalty=0.0,
-            # presence_penalty=0.0,
-            # top_p=1.0,
-            # base_url="https://api.deepseek.com",
-            # stop=["\n\n"],
-        ),
-        # Additional parameters not shown
-        # highlight-end
+client.collections.create(
+    "DemoCollection",
+    # highlight-start
+    generative_config=Configure.Generative.deepseek(
+        model="deepseek-v4-flash",
+        # # These parameters are optional
+        # temperature=0.7,
+        # max_tokens=500,
+        # frequency_penalty=0.0,
+        # presence_penalty=0.0,
+        # top_p=1.0,
+        # base_url="https://api.deepseek.com",
+        # stop=["\n\n"],
     )
-    # END RuntimeModelSelectionDeepseek
+    # highlight-end
+)
+# END FullGenerativeDeepseek
 
-    # clean up
-    client.collections.delete("DemoCollection")
+# clean up
+client.collections.delete("DemoCollection")
+import_data()
+
+# START RuntimeModelSelectionDeepseek
+from weaviate.classes.config import Configure
+from weaviate.classes.generate import GenerativeConfig
+
+collection = client.collections.use("DemoCollection")
+response = collection.generate.near_text(
+    query="A holiday film",
+    limit=2,
+    grouped_task="Write a tweet promoting these two movies",
+    # highlight-start
+    generative_provider=GenerativeConfig.deepseek(
+        # # These parameters are optional
+        # model="deepseek-v4-flash",
+        # temperature=0.7,
+        # max_tokens=500,
+        # frequency_penalty=0.0,
+        # presence_penalty=0.0,
+        # top_p=1.0,
+        # base_url="https://api.deepseek.com",
+        # stop=["\n\n"],
+    ),
+    # Additional parameters not shown
+    # highlight-end
+)
+# END RuntimeModelSelectionDeepseek
+
+# clean up
+client.collections.delete("DemoCollection")
 
 # START BasicGenerativeNVIDIA
 from weaviate.classes.config import Configure
diff --git a/docs/weaviate/model-providers/deepseek/generative.md b/docs/weaviate/model-providers/deepseek/generative.md
index ce9a90b09..2dcb88d0d 100644
--- a/docs/weaviate/model-providers/deepseek/generative.md
+++ b/docs/weaviate/model-providers/deepseek/generative.md
@@ -80,7 +80,7 @@ Always set `model` explicitly. The module's built-in default is a retired model
   text={PyCode}
   startMarker="# START GenerativeDeepseekCustomModel"
   endMarker="# END GenerativeDeepseekCustomModel"
-  language="pyindent"
+  language="py"
 />
 
 ### Select a model
@@ -97,7 +97,7 @@ Configure the following generative parameters to customize the model behavior.
   text={PyCode}
   startMarker="# START FullGenerativeDeepseek"
   endMarker="# END FullGenerativeDeepseek"
-  language="pyindent"
+  language="py"
 />
 
 Weaviate checks `maxTokens` against a built-in ceiling only for the retired `deepseek-chat` and `deepseek-reasoner` aliases. For any current model, a `maxTokens` above the model's limit is accepted when you create the collection and fails later, as an error from DeepSeek at query time.
@@ -112,7 +112,7 @@ Aside from setting the default model provider when creating the collection, you
   text={PyCode}
   startMarker="# START RuntimeModelSelectionDeepseek"
   endMarker="# END RuntimeModelSelectionDeepseek"
-  language="pyindent"
+  language="py"
 />
 
 ## Header parameters

From 13a73a7d288742edd500f6cbdb66cd8f8cb91926 Mon Sep 17 00:00:00 2001
From: Ivan Despot <66276597+g-despot@users.noreply.github.com>
Date: Thu, 13 Aug 2026 15:08:13 +0200
Subject: [PATCH 27/35] docs: add the missing DeepSeek _category_.json

Every other model provider directory carries one; deepseek was the only one
without. Position 225.5 places it between Databricks (225) and DigitalOcean
(226), which matches its row in the provider table and its sidebar position.
---
 docs/weaviate/model-providers/deepseek/_category_.json | 4 ++++
 1 file changed, 4 insertions(+)
 create mode 100644 docs/weaviate/model-providers/deepseek/_category_.json

diff --git a/docs/weaviate/model-providers/deepseek/_category_.json b/docs/weaviate/model-providers/deepseek/_category_.json
new file mode 100644
index 000000000..ca510c8e0
--- /dev/null
+++ b/docs/weaviate/model-providers/deepseek/_category_.json
@@ -0,0 +1,4 @@
+{
+    "label": "DeepSeek",
+    "position": 225.5
+}

From 03b767a0ca67dd95edef939a170e020e1ab4fc17 Mon Sep 17 00:00:00 2001
From: Ivan Despot <66276597+g-despot@users.noreply.github.com>
Date: Thu, 13 Aug 2026 16:33:49 +0200
Subject: [PATCH 28/35] chore: regenerate uv.lock for weaviate-client 4.23.0

pyproject.toml was bumped to 4.23.0 while that version was tagged but not
yet published, so the lockfile could not be regenerated at the time and
kept resolving 4.22.0. Every workflow that runs a bare uv sync failed at
dependency install as a result.

4.23.0 is now on PyPI, so the lockfile resolves.
---
 uv.lock | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/uv.lock b/uv.lock
index b0f0e87f5..876adf000 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1840,7 +1840,7 @@ wheels = [
 
 [[package]]
 name = "weaviate-client"
-version = "4.22.0"
+version = "4.23.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "authlib" },
@@ -1851,9 +1851,9 @@ dependencies = [
     { name = "pydantic" },
     { name = "validators" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/34/2a/73cf7d6c7c6aa638738dfcb0d318e0404aab3c0673f82a1a4d89455b21a5/weaviate_client-4.22.0.tar.gz", hash = "sha256:0c50fbef546a522262a87d1138cde0509c7a8a48e702e967be33472e9f7fbae3", size = 860126, upload-time = "2026-06-18T06:08:30.202Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/20/9f/8bfe42e3c0693afa321fb712c0a1f1ff2b886059db33543120f6953dde8e/weaviate_client-4.23.0.tar.gz", hash = "sha256:19cc336b4c9e58f06cf01cb9aff8f6d8c0fe747f2e80192a9871c63823e8b18d", size = 873028, upload-time = "2026-08-13T14:23:08.112Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/e1/a3/27353ea3fbf9e7d4f03375176a838c632d009f5167d801adcbb5f6d3bd07/weaviate_client-4.22.0-py3-none-any.whl", hash = "sha256:ff2dbc8d1fc25739942402c22d1aba2350a16ba4a6b6ed0ba140689c70adf1d9", size = 652691, upload-time = "2026-06-18T06:08:28.622Z" },
+    { url = "https://files.pythonhosted.org/packages/15/aa/8cafeb1c09901e8d220b00b771ffea35e5ea51db7d384dc85eff6cf667dc/weaviate_client-4.23.0-py3-none-any.whl", hash = "sha256:f17c645d22e1787e8fa4640e20fcfccdee39c81327af410c544a24c21d419e59", size = 656174, upload-time = "2026-08-13T14:23:06.583Z" },
 ]
 
 [[package]]
@@ -1908,7 +1908,7 @@ requires-dist = [
     { name = "requests", specifier = ">=2.32.3" },
     { name = "tqdm", specifier = ">=4.67.1" },
     { name = "weaviate-agents", specifier = ">=1.7.0" },
-    { name = "weaviate-client", specifier = "==4.22.0" },
+    { name = "weaviate-client", specifier = "==4.23.0" },
     { name = "weaviate-demo-datasets", specifier = ">=0.8.1" },
     { name = "weaviate-engram", specifier = ">=0.3.0" },
 ]

From 3af4e3dbd0408d7a965c88ef8eec5440138418df Mon Sep 17 00:00:00 2001
From: Ivan Despot <66276597+g-despot@users.noreply.github.com>
Date: Thu, 13 Aug 2026 16:46:26 +0200
Subject: [PATCH 29/35] Potential fix for pull request finding

Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
---
 docs/weaviate/model-providers/_includes/provider.generative.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/weaviate/model-providers/_includes/provider.generative.py b/docs/weaviate/model-providers/_includes/provider.generative.py
index b35d1c1c3..bf5daff80 100644
--- a/docs/weaviate/model-providers/_includes/provider.generative.py
+++ b/docs/weaviate/model-providers/_includes/provider.generative.py
@@ -929,7 +929,7 @@ def import_data():
     # highlight-start
     generative_provider=GenerativeConfig.deepseek(
         # # These parameters are optional
-        # model="deepseek-v4-flash",
+        model="deepseek-v4-pro",
         # temperature=0.7,
         # max_tokens=500,
         # frequency_penalty=0.0,

From 9cc115e452a820965b2a4751a1f2e200fc7f1c09 Mon Sep 17 00:00:00 2001
From: Ivan Despot <66276597+g-despot@users.noreply.github.com>
Date: Thu, 13 Aug 2026 17:24:53 +0200
Subject: [PATCH 30/35] docs: add and_cross to the BM25 concepts operator list

The keyword-search concepts page still listed two search operators and
asserted, as a general truth, that query tokens spread across different
properties cannot match. Core v1.38.8 added a third operator that exists
precisely to match tokens across properties.

- Add and_cross to the operator list, with its tokenization/analyzer
  constraint and an "available from v1.38.8" qualifier, matching the
  phrasing already used on api/graphql/search-operators.md.
- Reword the lead sentence to match search/bm25.md and search/hybrid.md,
  so "within a single searched property" describes what an operator can
  require rather than what all operators require.
- Keep the worked example but scope its cross-property claim to `and`,
  and note that the same object does match under and_cross.

Plain `and` is unchanged and still per-property; this is an addition,
not a behaviour change.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
---
 docs/weaviate/concepts/search/keyword-search.md | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/docs/weaviate/concepts/search/keyword-search.md b/docs/weaviate/concepts/search/keyword-search.md
index 86c3a0ef9..53bebf4b6 100644
--- a/docs/weaviate/concepts/search/keyword-search.md
+++ b/docs/weaviate/concepts/search/keyword-search.md
@@ -136,13 +136,14 @@ import SearchOperators from '/_includes/feature-notes/search-operators.mdx';
 
 <SearchOperators/>
 
-Search operators define the minimum number of query [tokens](../../search/bm25.md#set-tokenization) that must be present within a single searched property for an object to be returned.
+Search operators define how many of the query [tokens](../../search/bm25.md#set-tokenization) must match, and whether they must all match within a single searched property.
 
 Conceptually, it works as though a filter is applied to the results of the BM25 score calculation. The available operators are:
 - `and`: All tokens must be present within a single searched property
 - `or`: At least one token must be present within a single searched property, with the minimum number of tokens being configurable (`minimumOrTokensMatch`)
+- `and_cross`: Every token must be matched by at least one of the searched properties, so the tokens can be spread across different properties. All searched properties must share the same tokenization and analyzer settings, otherwise the query fails with an error. (available from `v1.38.8`)
 
-As an example, a BM25 query of `computer networking guide` with the `and` operator would only return objects where all of the tokens `computer`, `networking`, and `guide` appear together within a single searched property. If the tokens are spread across different properties (for example, `computer` in `title` and `networking` in `description`), the object does not match under `and`. In contrast, the same query with the `or` operator would return objects where at least one of those tokens appears in a searched property. If the `or` operator is used with a `minimumOrTokensMatch` of `2`, then at least two of the tokens must be present within a single searched property.
+As an example, a BM25 query of `computer networking guide` with the `and` operator would only return objects where all of the tokens `computer`, `networking`, and `guide` appear together within a single searched property. If the tokens are spread across different properties (for example, `computer` in `title` and `networking guide` in `description`), the object does not match under `and`. That restriction is specific to `and`; the same object does match under `and_cross`, which requires each token to appear in at least one of the searched properties rather than all of them in the same one. In contrast, the same query with the `or` operator would return objects where at least one of those tokens appears in a searched property. If the `or` operator is used with a `minimumOrTokensMatch` of `2`, then at least two of the tokens must be present within a single searched property.
 
 If not specified, the default operator is `or`, with a `minimumOrTokensMatch` of `1`. This means that at least one token must be present in a searched property for the object to be returned.
 

From 39fbed4aae7378ce3caa5600bfbaadbe10641770 Mon Sep 17 00:00:00 2001
From: Ivan Despot <66276597+g-despot@users.noreply.github.com>
Date: Thu, 13 Aug 2026 17:27:01 +0200
Subject: [PATCH 31/35] docs: finish the and_cross sweep on the two remaining
 pages

Follow-up to 9cc115e4, which fixed only the keyword-search concepts page.

- concepts/search/hybrid-search.md listed the operators as "and or or" in
  a passing mention of the BM25 parameters hybrid search inherits. Name
  and_cross alongside them and link the phrase to the concepts section
  that carries the semantics, keeping the mention at its original depth.
- search/hybrid.md named and_cross under the shared "Added in v1.31"
  note with no qualifier of its own, so a v1.38.8 operator appeared to
  date from v1.31. Add the inline "(available from v1.38.8)" form used
  on api/graphql/search-operators.md and on the concepts page.

The two-operator claim now appears nowhere under docs/.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
---
 docs/weaviate/concepts/search/hybrid-search.md | 2 +-
 docs/weaviate/search/hybrid.md                 | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/weaviate/concepts/search/hybrid-search.md b/docs/weaviate/concepts/search/hybrid-search.md
index 181fe96b5..eeed33e5e 100644
--- a/docs/weaviate/concepts/search/hybrid-search.md
+++ b/docs/weaviate/concepts/search/hybrid-search.md
@@ -191,7 +191,7 @@ This is because BM25 scores are not normalized or bounded like vector distances,
 
 ## Keyword (BM25) search parameters
 
-Hybrid search in Weaviate supports all the parameters available for keyword (BM25) search. This includes, for example, the ability to set the tokenization method, stopwords, BM25 parameters (k1, b), search operators (`and` or `or`), specific properties to search and/or to boost particular properties.
+Hybrid search in Weaviate supports all the parameters available for keyword (BM25) search. This includes, for example, the ability to set the tokenization method, stopwords, BM25 parameters (k1, b), [search operators](./keyword-search.md#keyword-search-operators) (`and`, `or`, or `and_cross`), specific properties to search and/or to boost particular properties.
 
 For more information on these parameters, see the [keyword search page](./keyword-search.md).
 
diff --git a/docs/weaviate/search/hybrid.md b/docs/weaviate/search/hybrid.md
index 7f0f13176..50fecf2f4 100644
--- a/docs/weaviate/search/hybrid.md
+++ b/docs/weaviate/search/hybrid.md
@@ -387,7 +387,7 @@ import SearchOperators from '/_includes/feature-notes/search-operators.mdx';
 
 <SearchOperators/>
 
-Keyword (BM25) search operators define how many of the query [tokens](#tokenization) must match, and whether they must all match within a single searched property. The options are `or` (default), `and`, and `and_cross`.
+Keyword (BM25) search operators define how many of the query [tokens](#tokenization) must match, and whether they must all match within a single searched property. The options are `or` (default), `and`, and `and_cross` (available from `v1.38.8`).
 
 The keyword leg of a hybrid query accepts the same operators as a standalone keyword search. For `and_cross`, which matches every token across the searched properties combined, see [BM25 search: `and_cross`](./bm25.md#and_cross).
 

From 1f039cfee0bfc81e99616a6aa0977e6758ccac1b Mon Sep 17 00:00:00 2001
From: Ivan Despot <66276597+g-despot@users.noreply.github.com>
Date: Thu, 13 Aug 2026 17:47:35 +0200
Subject: [PATCH 32/35] chore: point the REST API reference at the v1-39
 OpenAPI spec

The interactive REST reference (@scalar/docusaurus at /weaviate/api/rest)
was still pinned to the curated v1-38/openapi-for-docs branch. Bump the
ref to v1-39/openapi-for-docs, which carries info.version 1.39.0.

Verified by fetching the exact URL literal from the config: HTTP 200,
412645 bytes, valid Swagger 2.0. Against the 1.38 spec it adds
/search/{collection}/near-text, the namespace suspend/resume pair and the
property index rebuild/cancel pair, and drops
/schema/{className}/indexes/{propertyName}.

This pin is not covered by _build_scripts/update-config-versions.js, which
only rewrites versions-config.json, so it is a manual per-release step.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
---
 docusaurus.config.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docusaurus.config.js b/docusaurus.config.js
index 0d053915a..6450c6428 100644
--- a/docusaurus.config.js
+++ b/docusaurus.config.js
@@ -64,7 +64,7 @@ const config = {
         cdn: "https://cdn.jsdelivr.net/npm/@scalar/api-reference@1.49.0",
         configuration: {
           spec: {
-            url: "https://raw.githubusercontent.com/weaviate/weaviate/v1-38/openapi-for-docs/openapi-specs/schema.json",
+            url: "https://raw.githubusercontent.com/weaviate/weaviate/v1-39/openapi-for-docs/openapi-specs/schema.json",
           },
           hideModels: true,
           showSidebar: true,

From 6437fc71474b803fa5182d9d990fba701333446c Mon Sep 17 00:00:00 2001
From: Ivan Despot <66276597+g-despot@users.noreply.github.com>
Date: Thu, 13 Aug 2026 18:30:48 +0200
Subject: [PATCH 33/35] chore: upgrade weaviate-agents to 1.8.0

The search_mode.py snippet passes effort= to QueryAgent.search(), which
1.7.0 does not accept. 1.8.0 adds it. The pin already allowed the newer
release; the lockfile was simply resolved before it existed.
---
 uv.lock | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/uv.lock b/uv.lock
index 876adf000..bb6093c5a 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1826,16 +1826,16 @@ wheels = [
 
 [[package]]
 name = "weaviate-agents"
-version = "1.7.0"
+version = "1.8.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "httpx-sse" },
     { name = "rich" },
     { name = "weaviate-client" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/b8/99/750d7d2e33f610bad0d4b1d77e2a7f0c73dbab5459876fa51c7a4a440a3a/weaviate_agents-1.7.0.tar.gz", hash = "sha256:f033085cbde7123424f5579dfab553df5e0128d395dfea3b58c5aea6602340cb", size = 111884, upload-time = "2026-07-27T08:31:58.622Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/6c/fa/c392cbad0cd088070e9200e12a13d6cb3b8f33ee68e2afddec405c58e24d/weaviate_agents-1.8.0.tar.gz", hash = "sha256:878a4e0892ba028417389abf1caaea5947e8b76c6edcd706946c06093239bcfa", size = 112358, upload-time = "2026-08-11T13:46:50.144Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/5e/d3/30952e1a4ca1556beb73e756d1f514c0bd62db53c21bdc65cdd6c5c6b78e/weaviate_agents-1.7.0-py3-none-any.whl", hash = "sha256:052e37ad9114424149b29deb8ba96159fce69f54e45874a4d6e42b1831643931", size = 54505, upload-time = "2026-07-27T08:31:57.755Z" },
+    { url = "https://files.pythonhosted.org/packages/65/71/97060d755c6e88b65371a13791704497841543b2267c27feef597e468d34/weaviate_agents-1.8.0-py3-none-any.whl", hash = "sha256:40b93991bba26f3931c105e3d6f2c71604f3d74f7801a6e9382562751cc9b3b3", size = 54972, upload-time = "2026-08-11T13:46:49.059Z" },
 ]
 
 [[package]]

From 4df7b25ece2b67aba299a92fd1570355caab6016 Mon Sep 17 00:00:00 2001
From: Ivan Despot <66276597+g-despot@users.noreply.github.com>
Date: Thu, 13 Aug 2026 18:51:49 +0200
Subject: [PATCH 34/35] fix(docs-tests): wait for the async geo index in
 manage-data.create

The Python lane failed on a bare AssertionError at the geo-range check in
_includes/code/howto/manage-data.create.py (CI run 31718384134). The
rendered example is correct; the test scaffolding after the
WithGeoCoordinates markers was racing the index.

A geo property is backed by its own index, and the test instances run with
ASYNC_INDEXING enabled, so that index is filled in the background. Measured
against local servers with ASYNC_INDEXING=true, the just-inserted object
becomes visible to a within_geo_range filter after roughly 0.5 to 1.3
seconds: immediate on 1.38.0, 1.38.3 and 1.38.4, delayed from 1.38.5
onward, including 1.38.7 and 1.39.0. With ASYNC_INDEXING=false it is
immediate on every version tested. main pins the test server at 1.38.0 and
this branch pins 1.39.0, which is why the race only surfaces here.

Add a bounded readiness wait before the assertion, mirroring the pattern
already used in _includes/code/howto/search.filters.py, and clear the
Publication collection first so the exact count cannot pick up an object
left behind by an earlier failed run. The assertion stays exact and the
rendered block is unchanged.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
---
 _includes/code/howto/manage-data.create.py | 37 +++++++++++++++-------
 1 file changed, 26 insertions(+), 11 deletions(-)

diff --git a/_includes/code/howto/manage-data.create.py b/_includes/code/howto/manage-data.create.py
index b758b4cec..6204c8d6c 100644
--- a/_includes/code/howto/manage-data.create.py
+++ b/_includes/code/howto/manage-data.create.py
@@ -182,6 +182,10 @@
 # WithGeoCoordinates
 # ========================================
 
+# Test scaffolding; not rendered in the docs. Start from an empty collection so
+# the exact count asserted below cannot pick up an object left by an earlier run.
+client.collections.delete("Publication")
+
 # START WithGeoCoordinates
 publications = client.collections.use("Publication")
 
@@ -196,23 +200,34 @@
 # END WithGeoCoordinates
 
 # TEST - Confirm insert & delete object
+# Test scaffolding below; not rendered in the docs.
+# A geo property is backed by its own index, and that index is filled in the
+# background when the server runs with ASYNC_INDEXING enabled (the test
+# instance does), so a geo filter does not see the object the moment insert
+# returns. Wait (bounded) for the write to become visible, so the assertion
+# tests the geo range and not index visibility. The assertion stays exact.
+import time
 from weaviate.classes.data import GeoCoordinate
 from weaviate.classes.query import Filter
 
-response = publications.query.fetch_objects(
-    filters=(
-        Filter
-        .by_property("headquartersGeoLocation")
-        .within_geo_range(
-            coordinate=GeoCoordinate(
-                latitude=52.39,
-                longitude=4.84
-            ),
-            distance=1000  # In meters
-        )
+geo_range_filter = (
+    Filter
+    .by_property("headquartersGeoLocation")
+    .within_geo_range(
+        coordinate=GeoCoordinate(
+            latitude=52.39,
+            longitude=4.84
+        ),
+        distance=1000  # In meters
     )
 )
 
+for _ in range(30):
+    response = publications.query.fetch_objects(filters=geo_range_filter)
+    if len(response.objects) >= 1:
+        break
+    time.sleep(1)
+
 assert len(response.objects) == 1
 obj_uuid = response.objects[0].uuid
 publications.data.delete_by_id(obj_uuid)

From 11a41a05ea67753437f15f30802e0607644f0690 Mon Sep 17 00:00:00 2001
From: Ivan Despot <66276597+g-despot@users.noreply.github.com>
Date: Thu, 13 Aug 2026 18:51:57 +0200
Subject: [PATCH 35/35] docs(release-history): set the Java cell for 1.39.x to
 6.3.1

java-client 6.3.1 (tag 6.3.1, no v prefix, published 2026-08-13) adds the
AND_CROSS BM25 operator, hybrid diversity selection and multi2vec-twelvelabs
support. multi2vec-twelvelabs is served by Weaviate 1.39.0 and is absent
from 1.38.7, and AND_CROSS needs 1.37.15, 1.38.8 or 1.39.0, so 6.3.1 is the
1.39 client. Link built like the neighbouring 1.38.x cell.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
---
 _includes/release-history.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/_includes/release-history.md b/_includes/release-history.md
index a06518986..ba65becc6 100644
--- a/_includes/release-history.md
+++ b/_includes/release-history.md
@@ -2,7 +2,7 @@ This table lists recent Weaviate Database versions and corresponding client libr
 
 | Weaviate Database <br/><small>([GitHub][cWeaviate])</small>         | First <br/>release date |                  Python <br/><small>([GitHub][cPython])</small>                   |   TypeScript/ <br/>JavaScript <br/><small>([GitHub][cTypeScript])</small>    |                   Go <br/><small>([GitHub][cGo])</small>                    |             Java <br/><small>([GitHub][cJava])</small>              |                   C# <br/><small>([GitHub][cCSharp])</small>                    |
 | :------------------------------------------------------------------ | :---------------------- | :-------------------------------------------------------------------------------: | :--------------------------------------------------------------------------: | :-------------------------------------------------------------------------: | :-----------------------------------------------------------------: | :-----------------------------------------------------------------------------: |
-| [1.39.x](https://github.com/weaviate/weaviate/releases/tag/v1.39.0) | 2026-08-04              | [4.23.x](https://github.com/weaviate/weaviate-python-client/releases/tag/v4.23.0) |                                      -                                       |                                      -                                      |                                  -                                  |                                        -                                        |
+| [1.39.x](https://github.com/weaviate/weaviate/releases/tag/v1.39.0) | 2026-08-04              | [4.23.x](https://github.com/weaviate/weaviate-python-client/releases/tag/v4.23.0) |                                      -                                       |                                      -                                      | [6.3.1](https://github.com/weaviate/java-client/releases/tag/6.3.1) |                                        -                                        |
 | [1.38.x](https://github.com/weaviate/weaviate/releases/tag/v1.38.0) | 2026-06-05              | [4.22.x](https://github.com/weaviate/weaviate-python-client/releases/tag/v4.22.0) | [3.14.x](https://github.com/weaviate/typescript-client/releases/tag/v3.14.0) |                                     -                                      | [6.3.0](https://github.com/weaviate/java-client/releases/tag/6.3.0) |                                        -                                        |
 | [1.37.x](https://github.com/weaviate/weaviate/releases/tag/v1.37.0) | 2026-04-16              | [4.21.x](https://github.com/weaviate/weaviate-python-client/releases/tag/v4.21.0) | [3.13.x](https://github.com/weaviate/typescript-client/releases/tag/v3.13.0) | [5.7.3](https://github.com/weaviate/weaviate-go-client/releases/tag/v5.7.3) | [6.2.0](https://github.com/weaviate/java-client/releases/tag/6.2.0) |                                       N/A                                       |
 | [1.36.x](https://github.com/weaviate/weaviate/releases/tag/v1.36.0) | 2026-02-24              | [4.20.x](https://github.com/weaviate/weaviate-python-client/releases/tag/v4.20.0) | [3.12.x](https://github.com/weaviate/typescript-client/releases/tag/v3.12.0) | [5.7.x](https://github.com/weaviate/weaviate-go-client/releases/tag/v5.7.0) | [6.1.0](https://github.com/weaviate/java-client/releases/tag/6.1.0) | [1.0.1](https://github.com/weaviate/weaviate-dotnet-client/releases/tag/v1.0.1) |