Minor fix - multitarget search details

docs/weaviate/config-refs/schema/multi-vector.md

@@ -26,7 +26,7 @@ Single vector collections are valid and continue to use the original collection
 Use the collection definition to [configure the vector spaces](../../manage-collections/vector-config.mdx#define-named-vectors) for each data object.
 
 :::info Adding named vectors to existing collections
-Currently, it is only possible to [add new named vectors](../../manage-collections/vector-config.mdx#add-new-named-vectors) to collections that were initially configured to use named vectors. 
+Currently, it is only possible to [add new named vectors](../../manage-collections/vector-config.mdx#add-new-named-vectors) to collections that were initially configured to use named vectors.
 :::
 
 ### Query a named vector
@@ -35,8 +35,6 @@ To do a vector search on a collection with named vectors, specify the vector spa
 
 Use named vectors with [vector similarity searches](/weaviate/search/similarity#named-vectors) (`near_text`, `near_object`, `near_vector`, `near_image`) and [hybrid search](/weaviate/search/hybrid#named-vectors).
 
-Named vector collections support hybrid search, but only for one vector at a time.
-
 [Keyword search](/weaviate/search/bm25) syntax does not change if a collection has named vectors.
 
 ### Query multiple named vectors
@@ -54,6 +52,8 @@ In a multi-target vector search, you can specify:
 - The query(ies) to compare to the target vectors
 - The weights to apply to each distance (raw, or normalized) for each target vector
 
+Multi-target vector search is available for `near_xxx` queries (from `v1.26`), as well as `hybrid` queries (from `v1.27`).
+
 Read more in [How-to: Multi-target vector search](../../search/multi-vector.md).
 
 ## Related pages

docs/weaviate/search/multi-vector.md

@@ -27,6 +27,8 @@ There are multiple ways to specify the target vectors and query vectors, such as
 
 <!-- TODO: Move most of the description/prose to a new "vector.md" page under concepts/search. -->
 
+Multi-target vector search is available for `near_xxx` queries (from `v1.26`), as well as `hybrid` queries (from `v1.27`).
+
 ### Available join strategies.
 
 - **minimum** (*default*) Use the minimum of all vector distances.