diff --git a/site/content/3.12/about-arangodb/features/core.md b/site/content/3.12/about-arangodb/features/core.md
index f40468f1cc..a65f0aafd7 100644
--- a/site/content/3.12/about-arangodb/features/core.md
+++ b/site/content/3.12/about-arangodb/features/core.md
@@ -150,11 +150,9 @@ available from v3.12.5 onward.
   threshold is reached.
 {{% /comment %}}
 
-{{% comment %}} Experimental feature
 - [**Vector search**](../../index-and-search/indexing/working-with-indexes/vector-indexes.md):
   Find items with similar properties by comparing vector embeddings generated by
   machine learning models.
-{{% /comment %}}
 
 - [**Search highlighting**](../../index-and-search/arangosearch/search-highlighting.md):
   Get the substring positions of matched terms, phrases, or _n_-grams.
diff --git a/site/content/3.12/aql/functions/vector.md b/site/content/3.12/aql/functions/vector.md
index be1b83261b..143fac5c7d 100644
--- a/site/content/3.12/aql/functions/vector.md
+++ b/site/content/3.12/aql/functions/vector.md
@@ -16,13 +16,13 @@ You can calculate vector embeddings using [ArangoDB's GraphML](../../data-scienc
 capabilities (available in ArangoGraph) or using external tools.
 
 {{< warning >}}
-The vector index is an experimental feature that you need to enable for the
-ArangoDB server with the `--experimental-vector-index` startup option.
+You need to enable the vector index feature for the
+ArangoDB server with the `--vector-index` startup option.
 Once enabled for a deployment, it cannot be disabled anymore because it
 permanently changes how the data is managed by the RocksDB storage engine
 (it adds an additional column family).
 
-To restore a dump that contains vector indexes, the `--experimental-vector-index`
+To restore a dump that contains vector indexes, the `--vector-index`
 startup option needs to be enabled on the deployment you want to restore to.
 {{< /warning >}}
 
diff --git a/site/content/3.12/index-and-search/indexing/working-with-indexes/vector-indexes.md b/site/content/3.12/index-and-search/indexing/working-with-indexes/vector-indexes.md
index e93800eb34..05f9bc0f8e 100644
--- a/site/content/3.12/index-and-search/indexing/working-with-indexes/vector-indexes.md
+++ b/site/content/3.12/index-and-search/indexing/working-with-indexes/vector-indexes.md
@@ -19,17 +19,17 @@ The vector index implementation uses the [Faiss library](https://github.com/face
 ## How to use vector indexes
 
 {{< warning >}}
-The vector index is an experimental feature that you need to enable for the
-ArangoDB server with the `--experimental-vector-index` startup option.
+You need to enable the vector index feature for the
+ArangoDB server with the `--vector-index` startup option.
 Once enabled for a deployment, it cannot be disabled anymore because it
 permanently changes how the data is managed by the RocksDB storage engine
 (it adds an additional column family).
 
-To restore a dump that contains vector indexes, the `--experimental-vector-index`
+To restore a dump that contains vector indexes, the `--vector-index`
 startup option needs to be enabled on the deployment you want to restore to.
 {{< /warning >}}
 
-1. Enable the experimental vector index feature.
+1. Enable the vector index feature.
 2. Calculate vector embeddings using [ArangoDB's GraphML](../../../data-science/graphml/_index.md)
    capabilities (available in ArangoGraph) or using external tools.
    Store each vector as an attribute in the respective document.
diff --git a/site/content/3.12/release-notes/version-3.12/api-changes-in-3-12.md b/site/content/3.12/release-notes/version-3.12/api-changes-in-3-12.md
index f42e63f451..989fc09923 100644
--- a/site/content/3.12/release-notes/version-3.12/api-changes-in-3-12.md
+++ b/site/content/3.12/release-notes/version-3.12/api-changes-in-3-12.md
@@ -463,11 +463,11 @@ add the `withHidden=true` query parameter to the call of the endpoint.
 curl "http://localhost:8529/_api/index?collection=myCollection&withHidden=true"
 ```
 
-#### Vector indexes (experimental)
+#### Vector indexes
 
 <small>Introduced in: v3.12.4</small>
 
-A new `vector` index type has been added as an experimental feature.
+A new `vector` index type has been added.
 See [HTTP interface for vector indexes](../../develop/http-api/indexes/vector.md)
 for details.
 
diff --git a/site/content/3.12/release-notes/version-3.12/whats-new-in-3-12.md b/site/content/3.12/release-notes/version-3.12/whats-new-in-3-12.md
index 85db1e9ad4..b5fdc5616f 100644
--- a/site/content/3.12/release-notes/version-3.12/whats-new-in-3-12.md
+++ b/site/content/3.12/release-notes/version-3.12/whats-new-in-3-12.md
@@ -1485,18 +1485,18 @@ Note that it is still forbidden to use `_id` as a top-level attribute or
 sub-attribute in `fields` of persistent indexes. On the other hand, inverted
 indexes have been allowing to index and store the `_id` system attribute.
 
-### Vector indexes (experimental)
+### Vector indexes
 
 <small>Introduced in: v3.12.4</small>
 
-A new `vector` index type has been added as an experimental feature that enables
+A new `vector` index type has been added that enables
 you to find items with similar properties by comparing vector embeddings, which
 are numerical representations generated by machine learning models.
 
-To try out this feature, start an ArangoDB server (`arangod`) with the
-`--experimental-vector-index` startup option. You need to generate
-vector embeddings before creating a vector index. For more information about
-the vector index type including the available settings, see the
+To use this feature, start an ArangoDB server (`arangod`) with the `--vector-index`
+startup option (or `--experimental-vector-index` in v3.12.4 and v3.12.5).
+You need to generate vector embeddings before creating a vector index. For more
+information about the vector index type including the available settings, see the
 [Vector indexes](../../index-and-search/indexing/working-with-indexes/vector-indexes.md)
 documentation.
 
diff --git a/site/content/3.13/about-arangodb/features/core.md b/site/content/3.13/about-arangodb/features/core.md
index eaadc86a3f..b1c58160fc 100644
--- a/site/content/3.13/about-arangodb/features/core.md
+++ b/site/content/3.13/about-arangodb/features/core.md
@@ -145,11 +145,9 @@ aliases:
   threshold is reached.
 {{% /comment %}}
 
-{{% comment %}} Experimental feature
 - [**Vector search**](../../index-and-search/indexing/working-with-indexes/vector-indexes.md):
   Find items with similar properties by comparing vector embeddings generated by
   machine learning models.
-{{% /comment %}}
 
 - [**Search highlighting**](../../index-and-search/arangosearch/search-highlighting.md):
   Get the substring positions of matched terms, phrases, or _n_-grams.
diff --git a/site/content/3.13/aql/functions/vector.md b/site/content/3.13/aql/functions/vector.md
index be1b83261b..143fac5c7d 100644
--- a/site/content/3.13/aql/functions/vector.md
+++ b/site/content/3.13/aql/functions/vector.md
@@ -16,13 +16,13 @@ You can calculate vector embeddings using [ArangoDB's GraphML](../../data-scienc
 capabilities (available in ArangoGraph) or using external tools.
 
 {{< warning >}}
-The vector index is an experimental feature that you need to enable for the
-ArangoDB server with the `--experimental-vector-index` startup option.
+You need to enable the vector index feature for the
+ArangoDB server with the `--vector-index` startup option.
 Once enabled for a deployment, it cannot be disabled anymore because it
 permanently changes how the data is managed by the RocksDB storage engine
 (it adds an additional column family).
 
-To restore a dump that contains vector indexes, the `--experimental-vector-index`
+To restore a dump that contains vector indexes, the `--vector-index`
 startup option needs to be enabled on the deployment you want to restore to.
 {{< /warning >}}
 
diff --git a/site/content/3.13/index-and-search/indexing/working-with-indexes/vector-indexes.md b/site/content/3.13/index-and-search/indexing/working-with-indexes/vector-indexes.md
index e93800eb34..05f9bc0f8e 100644
--- a/site/content/3.13/index-and-search/indexing/working-with-indexes/vector-indexes.md
+++ b/site/content/3.13/index-and-search/indexing/working-with-indexes/vector-indexes.md
@@ -19,17 +19,17 @@ The vector index implementation uses the [Faiss library](https://github.com/face
 ## How to use vector indexes
 
 {{< warning >}}
-The vector index is an experimental feature that you need to enable for the
-ArangoDB server with the `--experimental-vector-index` startup option.
+You need to enable the vector index feature for the
+ArangoDB server with the `--vector-index` startup option.
 Once enabled for a deployment, it cannot be disabled anymore because it
 permanently changes how the data is managed by the RocksDB storage engine
 (it adds an additional column family).
 
-To restore a dump that contains vector indexes, the `--experimental-vector-index`
+To restore a dump that contains vector indexes, the `--vector-index`
 startup option needs to be enabled on the deployment you want to restore to.
 {{< /warning >}}
 
-1. Enable the experimental vector index feature.
+1. Enable the vector index feature.
 2. Calculate vector embeddings using [ArangoDB's GraphML](../../../data-science/graphml/_index.md)
    capabilities (available in ArangoGraph) or using external tools.
    Store each vector as an attribute in the respective document.
diff --git a/site/content/3.13/release-notes/version-3.12/api-changes-in-3-12.md b/site/content/3.13/release-notes/version-3.12/api-changes-in-3-12.md
index f42e63f451..989fc09923 100644
--- a/site/content/3.13/release-notes/version-3.12/api-changes-in-3-12.md
+++ b/site/content/3.13/release-notes/version-3.12/api-changes-in-3-12.md
@@ -463,11 +463,11 @@ add the `withHidden=true` query parameter to the call of the endpoint.
 curl "http://localhost:8529/_api/index?collection=myCollection&withHidden=true"
 ```
 
-#### Vector indexes (experimental)
+#### Vector indexes
 
 <small>Introduced in: v3.12.4</small>
 
-A new `vector` index type has been added as an experimental feature.
+A new `vector` index type has been added.
 See [HTTP interface for vector indexes](../../develop/http-api/indexes/vector.md)
 for details.
 
diff --git a/site/content/3.13/release-notes/version-3.12/whats-new-in-3-12.md b/site/content/3.13/release-notes/version-3.12/whats-new-in-3-12.md
index 85db1e9ad4..b5fdc5616f 100644
--- a/site/content/3.13/release-notes/version-3.12/whats-new-in-3-12.md
+++ b/site/content/3.13/release-notes/version-3.12/whats-new-in-3-12.md
@@ -1485,18 +1485,18 @@ Note that it is still forbidden to use `_id` as a top-level attribute or
 sub-attribute in `fields` of persistent indexes. On the other hand, inverted
 indexes have been allowing to index and store the `_id` system attribute.
 
-### Vector indexes (experimental)
+### Vector indexes
 
 <small>Introduced in: v3.12.4</small>
 
-A new `vector` index type has been added as an experimental feature that enables
+A new `vector` index type has been added that enables
 you to find items with similar properties by comparing vector embeddings, which
 are numerical representations generated by machine learning models.
 
-To try out this feature, start an ArangoDB server (`arangod`) with the
-`--experimental-vector-index` startup option. You need to generate
-vector embeddings before creating a vector index. For more information about
-the vector index type including the available settings, see the
+To use this feature, start an ArangoDB server (`arangod`) with the `--vector-index`
+startup option (or `--experimental-vector-index` in v3.12.4 and v3.12.5).
+You need to generate vector embeddings before creating a vector index. For more
+information about the vector index type including the available settings, see the
 [Vector indexes](../../index-and-search/indexing/working-with-indexes/vector-indexes.md)
 documentation.