doc bug, limit on vector fields in a query

Author: HeidiSteen

articles/search/search-limits-quotas-capacity.md

@@ -8,7 +8,7 @@ author: HeidiSteen
 ms.author: heidist
 ms.service: azure-ai-search
 ms.topic: conceptual
-ms.date: 04/14/2025
+ms.date: 04/30/2025
 ms.custom:
   - references_regions
   - build-2024
@@ -241,6 +241,7 @@ Indexing APIs:
 
 Query APIs:
 
++ Maximum 10 fields in a vector query
 + Maximum 32 fields in $orderby clause.
 + Maximum 100,000 characters in a search clause.
 + Maximum number of clauses in search is 3,000.

articles/search/vector-search-how-to-query.md

@@ -9,7 +9,7 @@ ms.service: azure-ai-search
 ms.custom:
   - build-2024
 ms.topic: how-to
-ms.date: 03/11/2025
+ms.date: 04/30/2025
 ---
 
 # Create a vector query in Azure AI Search
@@ -98,8 +98,11 @@ This section shows you the basic structure of a vector query. You can use the Az
 + `vectorQueries` is the construct for vector search.
 + `vectorQueries.kind` set to `vector` for a vector array, or set to `text` if the input is a string and [you have a vectorizer](#query-with-integrated-vectorization).
 + `vectorQueries.vector` is query (a vector representation of text or an image).
++ `vectorQueries.exhaustive` (optional) invokes exhaustive KNN at query time, even if the field is indexed for HNSW.
++ `vectorQueries.fields` (optional) targets specific fields for query execution (up to 10 per query).
 + `vectorQueries.weight` (optional) specifies the relative weight of each vector query included in search operations (see [Vector weighting](#vector-weighting)).
-+ `exhaustive` (optional) invokes exhaustive KNN at query time, even if the field is indexed for HNSW.
++ `vectorQueries.k` is the number of matches to return.
+
 
 In the following example, the vector is a representation of this string: "what Azure services support full text search". The query targets the `contentVector` field. The query returns `k` results. The actual vector has 1536 embeddings, so it's trimmed in this example for readability.
 
@@ -257,7 +260,9 @@ If you do want vector fields in the result, here's an example of the response st
 
 ## Multiple vector fields
 
-You can set the "vectorQueries.fields" property to multiple vector fields. The vector query executes against each vector field that you provide in the `fields` list. When querying multiple vector fields, make sure each one contains embeddings from the same embedding model, and that the query is also generated from the same embedding model.
+You can set the "vectorQueries.fields" property to multiple vector fields. The vector query executes against each vector field that you provide in the `fields` list. You can specify up to 10 fields.
+
+When querying multiple vector fields, make sure each one contains embeddings from the same embedding model, and that the query is also generated from the same embedding model.
 
 ```http
 POST https://{{search-service-name}}.search.windows.net/indexes/{{index-name}}/docs/search?api-version=2024-07-01