misc edits

Author: HeidiSteen

articles/search/search-manage-rest.md

@@ -31,6 +31,9 @@ The Management REST API is available in stable and preview versions. Be sure to
 > * [Disable workloads that push data to external resources](#disable-external-access)
 > * [Create a query key](#create-query-api-keys)
 > * [Regenerate an admin key](#regenerate-admin-api-keys)
+> * [List private endpoint connections](#list-private-endpoint-connections)
+> * [List search operations](#list-search-operations)
+> * [Delete a search services](#delete-a-search-service)
 
 All of the Management REST APIs have examples. If a task isn't covered in this article, see the [API reference](/rest/api/searchmanagement/) instead.
 
@@ -97,7 +100,7 @@ If you're not familiar with the REST client for Visual Studio Code, this section
          Authorization: Bearer {{token}}
     ```
 
-1. Select **Send request**. A response should appear in an adjacent pane. If you have existing resource groups, they're listed. Otherwise, the list is empty, but as long as the HTTP code is 200 OK, you're ready for the next steps.
+1. Select **Send request**. A response should appear in an adjacent pane. If you have existing search services, they're listed. Otherwise, the list is empty, but as long as the HTTP code is 200 OK, you're ready for the next steps.
 
     ```http
     HTTP/1.1 200 OK

articles/search/search-what-is-azure-search.md

@@ -16,9 +16,9 @@ ms.custom:
 ---
 # What's Azure AI Search?
 
-Azure AI Search ([formerly known as "Azure Cognitive Search"](whats-new.md#new-service-name)) provides secure information retrieval at scale over user-owned content in traditional and conversational search applications.
+Azure AI Search ([formerly known as "Azure Cognitive Search"](whats-new.md#new-service-name)) provides secure information retrieval at scale over user-owned content in traditional and generative AI search applications.
 
-Information retrieval is foundational to any app that surfaces text and vectors. Common scenarios include catalog or document search, data exploration, and increasingly chat-style copilot apps over proprietary grounding data. When you create a search service, you work with the following capabilities:
+Information retrieval is foundational to any app that surfaces text and vectors. Common scenarios include catalog or document search, data exploration, and increasingly chat-style apps over proprietary grounding data. When you create a search service, you work with the following capabilities:
 
 + A search engine for [vector search](vector-search-overview.md) and [full text](search-lucene-query-architecture.md) and [hybrid search](hybrid-search-overview.md) over a search index 
 + Rich indexing with [integrated data chunking and vectorization (preview)](vector-search-integrated-vectorization.md), [lexical analysis](search-analyzers.md) for text, and [optional AI enrichment](cognitive-search-concept-intro.md) for content extraction and transformation