Merge pull request #277841 from HeidiSteen/heidst-june7

Formatting, version update

Author: prmerger-automator[bot]

articles/search/search-api-preview.md

@@ -19,7 +19,7 @@ This article identifies all features in public preview. This list is helpful for
 
 Preview features are removed from this list if they're retired or transition to general availability. For announcements regarding general availability and retirement, see [Service Updates](https://azure.microsoft.com/updates/?product=search) or [What's New](whats-new.md).
 
-Data plane preview features are listed in the following table.
+## Data plane preview features
 
 |Feature                          | Category | Description | Availability  |
 |---------|------------------|-------------|---------------|
@@ -48,12 +48,11 @@ Data plane preview features are listed in the following table.
 | [**featuresMode parameter**](/rest/api/searchservice/preview-api/search-documents#query-parameters) | Relevance (scoring) | Relevance score expansion to include details: per field similarity score, per field term frequency, and per field number of unique tokens matched. You can consume these data points in [custom scoring solutions](https://github.com/Azure-Samples/search-ranking-tutorial). | [Search Documents (preview)](/rest/api/searchservice/preview-api/search-documents), 2019-05-06-Preview or later.|
 | [**moreLikeThis**](search-more-like-this.md) | Query | Finds documents that are relevant to a specific document. This feature has been in earlier previews. | [Search Documents (preview)](/rest/api/searchservice/preview-api/search-documents) calls, in all supported API versions: 2023-10-10-Preview, 2023-07-01-Preview, 2021-04-30-Preview, 2020-06-30-Preview, 2019-05-06-Preview, 2016-09-01-Preview, 2017-11-11-Preview. |
 
-Control plane preview features are listed in the following table.
+## Control plane preview features
 
 |Feature                          | Category | Description | Availability  |
 |---------|------------------|-------------|---------------|
-| [**User-assigned managed identity**](search-howto-managed-identities-data-sources.md) | Service | Configures a search service to use a previously created user-assigned managed identity. | [UPDATE](/rest/api/searchmanagement/services/update?view=rest-searchmanagement-2024-03-01-preview&preserve-view=true#identity), 2021-04-01-preview or a later. |
-
+| [**User-assigned managed identity**](search-howto-managed-identities-data-sources.md) | Service | Configures a search service to use a previously created user-assigned managed identity. | [Services - Update](/rest/api/searchmanagement/services/update?view=rest-searchmanagement-2024-03-01-preview&preserve-view=true#identity), 2021-04-01-preview or a later. |
 
 ## Preview features in Azure SDKs
 

articles/search/search-howto-managed-identities-data-sources.md

@@ -17,7 +17,7 @@ ms.date: 06/11/2024
 # Configure a search service to connect using a managed identity in Azure AI Search
 
 > [!IMPORTANT]
-> User-assigned managed identity is in public preview under [Supplemental Terms of Use](https://azure.microsoft.com/support/legal/preview-supplemental-terms/). The [Management 2024-03-01-Preview REST API](/rest/api/searchmanagement/services/update?view=rest-searchmanagement-2024-03-01-preview&preserve-view=true#identity) provides user-assigned managed identities for Azure AI Search. Support for a system-assigned managed identity is generally available.
+> User-assigned managed identity assignment is in public preview under [Supplemental Terms of Use](https://azure.microsoft.com/support/legal/preview-supplemental-terms/). The [Management preview REST API](/rest/api/searchmanagement/services/update?view=rest-searchmanagement-2024-03-01-preview&preserve-view=true#identity) provides user-assigned managed identity assignment for Azure AI Search. Support for a system-assigned managed identity is generally available.
 
 You can use Microsoft Entra ID and role assignments for outbound connections from Azure AI Search to resources providing data, applied AI, or vectorization during indexing or queries. 
 
@@ -138,9 +138,9 @@ A user-assigned managed identity is a resource on Azure. You can create multiple
 Steps are:
 
 + In your Azure subscription, create a user-assigned managed identity.
-+ On your search service, update a search service to use the user-assigned managed identity (this step is in preview).
-+ On other Azure services you want to connect to, create a role assignment.
-+ In data source connections on Azure AI Search, such as an indexer data source, specify a connection that references the user-managed identity (this step is generally available if support for the feature is generally available).
++ On your search service, update the service definition to enable the user-assigned managed identity (this step is in preview).
++ On other Azure services you want to connect to, create a role assignment for the identity.
++ In data source connections on Azure AI Search, such as an indexer data source, reference the user-managed identity in the connection details (this step is generally available if support for the feature is generally available).
 
 A user-assigned managed identity can be scoped to subscriptions, resource groups, or resource types. 
 

articles/search/vector-search-how-to-configure-compression-storage.md

@@ -13,7 +13,7 @@ ms.date: 06/05/2024
 # Configure vector quantization and reduced storage for smaller vectors in Azure AI Search
 
 > [!IMPORTANT]
-> These features are in public preview under [Supplemental Terms of Use](https://azure.microsoft.com/support/legal/preview-supplemental-terms/). The [2024-03-01-Preview REST API](/rest/api/searchservice/operation-groups?view=rest-searchservice-2024-03-01-preview&preserve-view=true) provides the new data types, vector compression properties, and the `stored` property.
+> These features are in public preview under [Supplemental Terms of Use](https://azure.microsoft.com/support/legal/preview-supplemental-terms/). The [2024-03-01-Preview REST API](/rest/api/searchservice/operation-groups?view=rest-searchservice-2024-03-01-preview&preserve-view=true) and later preview APIs provide the new data types, vector compression properties, and the `stored` property.
 
 This article describes vector quantization and other techniques for compressing vector indexes in Azure AI Search.
 

articles/search/vector-search-integrated-vectorization.md

@@ -9,13 +9,13 @@ ms.service: cognitive-search
 ms.custom:
   - ignite-2023
 ms.topic: conceptual
-ms.date: 05/21/2024
+ms.date: 06/11/2024
 ---
 
 # Integrated data chunking and embedding in Azure AI Search
 
 > [!IMPORTANT] 
-> Integrated data chunking and vectorization is in public preview under [Supplemental Terms of Use](https://azure.microsoft.com/support/legal/preview-supplemental-terms/). The [2023-10-01-Preview REST API](/rest/api/searchservice/skillsets/create-or-update?view=rest-searchservice-2023-10-01-preview&preserve-view=true) provides this feature.
+> Integrated data chunking and vectorization is in public preview under [Supplemental Terms of Use](https://azure.microsoft.com/support/legal/preview-supplemental-terms/). The [2023-10-01-Preview REST API](/rest/api/searchservice/skillsets/create-or-update?view=rest-searchservice-2023-10-01-preview&preserve-view=true) and all newer preview REST APIs provide this feature.
 
 Integrated vectorization is an extension of the indexing and query pipelines in Azure AI Search. It adds the following capabilities: