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 45341b8ea8..ba5c200a5b 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 dbb7ce2a8d..2c3b4897fc 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
@@ -22,17 +22,17 @@ normalized before insertion and search.
## 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.
@@ -115,7 +115,6 @@ centroids and the quality of vector search thus degrades.
{{< tabs "interfaces" >}}
{{< tab "Web interface" >}}
-{{< comment >}}TODO: Only in v3.12.6+
1. In the **Collections** section, click the name or row of the desired collection.
2. Go to the **Indexes** tab.
3. Click **Add index**.
@@ -125,8 +124,6 @@ centroids and the quality of vector search thus degrades.
under `param`.
7. Optionally give the index a user-defined name.
8. Click **Create**.
-{{< /comment >}}
-The web interface does not support vector indexes yet.
{{< /tab >}}
{{< tab "arangosh" >}}
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 67e72e191d..1a04ca6469 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
@@ -452,11 +452,11 @@ 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
Introduced in: v3.12.4
-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 9dc4aee978..8371bfafbc 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
@@ -1405,18 +1405,18 @@ 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
Introduced in: v3.12.4
-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 45341b8ea8..ba5c200a5b 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 94aa2cdc95..2c3b4897fc 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
@@ -22,17 +22,17 @@ normalized before insertion and search.
## 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 67e72e191d..1a04ca6469 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
@@ -452,11 +452,11 @@ 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
Introduced in: v3.12.4
-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 9dc4aee978..8371bfafbc 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
@@ -1405,18 +1405,18 @@ 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
Introduced in: v3.12.4
-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.