Query response statement

Author: HeidiSteen

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

@@ -7,7 +7,7 @@ author: HeidiSteen
 ms.author: heidist
 ms.service: cognitive-search
 ms.topic: how-to
-ms.date: 07/10/2023
+ms.date: 07/14/2023
 ---
 
 # Query vector data in a search index
@@ -17,6 +17,8 @@ ms.date: 07/10/2023
 
 In Azure Cognitive Search, if you added vector fields to a search index, this article explains how to query those fields. It also explains how to combine vector queries with full text search and semantic search for hybrid query combination scenarios.
 
+Query execution in Cognitive Search doesn't include vector conversion. Encoding (text-to-vector) and decoding (vector-to-text) is external to a search service. For both steps, your application code should call the same embedding model. As an alternative, remember that a query response can include non-vector fields in your search index. If you want to skip a decoding step, you could query on a vector field (descriptionVector) but return the text field (description) in the response.
+
 ## Prerequisites
 
 + Azure Cognitive Search, in any region and on any tier. Most existing services support vector search. For a small subset of services created prior to January 2019, an index containing vector fields will fail on creation. In this situation, a new service must be created.