Merge pull request #3981 from MicrosoftDocs/release-azure-search

Release azure search -> main -- 04/09 07:00 AM PST

Author: Albertyang0

articles/search/.openpublishing.redirection.search.json

@@ -382,4 +382,4 @@
             "redirect_document_id": false
         }
     ]
-}
+  }

articles/search/cognitive-search-attach-cognitive-services.md

@@ -50,7 +50,7 @@ Using the Azure portal or newer preview REST APIs and beta SDK packages, you can
 
 1. On your Azure AI services multi-service resource, [assign the identity](/azure/role-based-access-control/role-assignments-portal) to the **Cognitive Services User** role.
 
-1. Using the Azure portal, or the [Skillset 2024-11-01-preview REST API](/rest/api/searchservice/skillsets/create-or-update?view=rest-searchservice-2024-11-01-preview&preserve-view=true), or an Azure SDK beta package that provides the syntax, configure a skillset to use an identity:
+1. Using the Azure portal, or the [Skillset 2024-11-01-preview REST API](/rest/api/searchservice/skillsets/create-or-update?view=rest-searchservice-2024-11-01-preview&preserve-view=true) or later, or an Azure SDK beta package that provides the syntax, configure a skillset to use an identity:
 
    + The managed identity used on the connection belongs to the search service. It can be system managed or user assigned.
 

articles/search/cognitive-search-skill-document-intelligence-layout.md

@@ -11,7 +11,7 @@ ms.custom:
   - references_regions
   - ignite-2024
 ms.topic: reference
-ms.date: 02/13/2025
+ms.date: 04/07/2025
 ---
 
 # Document Layout skill
@@ -22,12 +22,13 @@ The **Document Layout** skill analyzes a document to extract regions of interest
 
 This article is the reference documentation for the Document Layout skill. For usage information, see [Structure-aware chunking and vectorization](search-how-to-semantic-chunking.md).
 
-The **Document Layout** skill calls the [Document Intelligence Public preview version 2024-07-31-preview](/rest/api/aiservices/operation-groups?view=rest-aiservices-v4.0%20(2024-07-31-preview)&preserve-view=true). It's currently only available in the following Azure regions:
+The **Document Layout** skill calls the [Document Intelligence Public preview version 2024-07-31-preview](/rest/api/aiservices/operation-groups?view=rest-aiservices-v4.0%20(2024-07-31-preview)&preserve-view=true). 
 
-+ East US
-+ West US2
-+ West Europe
-+ North Central US
+Supported regions varies by modality:
+
++ In code, your skillset can call Document Intelligence through an Azure AI multi-service resource in any region that provides both AI enrichment and Document Intelligence. See [Product availability by region](https://azure.microsoft.com/explore/global-infrastructure/products-by-region/table) to find regions that provide both *AI enrichment* in Azure AI Search and *Document Intelligence* under Azure AI services.
+
++ In the [Import and vectorize data](search-import-data-portal.md) wizard in the Azure portal, you can enable document layout detection in the data source connection step. Document layout detection in the portal is available in the following Azure regions: **East US**, **West Europe**, **North Central US**. Create an Azure AI multi-service resource in one of these three regions to get the portal experience.
 
 Supported file formats include:
 
@@ -59,7 +60,7 @@ Microsoft.Skills.Util.DocumentIntelligenceLayoutSkill
 
 ## Supported languages
 
-Refer to [Azure AI Document Intelligence layout model supported languages](/azure/ai-services/document-intelligence/language-support/ocr?view=doc-intel-3.1.0&tabs=read-print%2Clayout-print%2Cgeneral#layout) for printed text.
+Refer to [Azure AI Document Intelligence layout model supported languages](/azure/ai-services/document-intelligence/language-support/ocr?view=doc-intel-3.1.0&tabs=read-print%2Clayout-print%2Cgeneral#layout&preserve-view=true) for printed text.
 
 ## Limitations
 

articles/search/cognitive-search-tutorial-blob-dotnet.md

@@ -1,5 +1,5 @@
 ---
-title: 'Tutorial: Skillsets using C#'
+title: 'Tutorial: Skillsets Using C#'
 titleSuffix: Azure AI Search
 description: Use C# and the Azure SDK for .NET to create skillsets. This skillset applies AI transformations and analyses to create searchable content from images and unstructured text.
 
@@ -9,7 +9,7 @@ manager: nitinme
 
 ms.service: azure-ai-search
 ms.topic: tutorial
-ms.date: 01/17/2025
+ms.date: 03/31/2025
 ms.custom:
   - devx-track-csharp
   - devx-track-dotnet
@@ -18,19 +18,17 @@ ms.custom:
 
 # C# Tutorial: Use skillsets to generate searchable content in Azure AI Search
 
-In this tutorial, learn how to use the [Azure SDK for .NET](https://www.nuget.org/packages/Azure.Search.Documents/) to create an [AI enrichment pipeline](cognitive-search-concept-intro.md) for content extraction and transformations during indexing.
+Learn how to use the [Azure SDK for .NET](https://www.nuget.org/packages/Azure.Search.Documents/) to create an [AI enrichment pipeline](cognitive-search-concept-intro.md) for content extraction and transformations during indexing.
 
-Skillsets add AI processing to raw content, making that content more uniform and searchable. Once you know how skillsets work, you can support a broad range of transformations: from image analysis, to natural language processing, to customized processing that you provide externally.
+Skillsets add AI processing to raw content, making it more uniform and searchable. Once you know how skillsets work, you can support a broad range of transformations, from image analysis to natural language processing to customized processing that you provide externally.
 
-This tutorial helps you learn how to:
+In this tutorial, you:
 
 > [!div class="checklist"]
 > + Define objects in an enrichment pipeline.
 > + Build a skillset. Invoke OCR, language detection, entity recognition, and key phrase extraction.
 > + Execute the pipeline. Create and load a search index.
-> + Check the results using full text search.
-
-If you don't have an Azure subscription, open a [free account](https://azure.microsoft.com/free/?WT.mc_id=A261C142F) before you begin.
+> + Check the results using full-text search.
 
 ## Overview
 
@@ -42,16 +40,18 @@ Once content is extracted, the [skillset](cognitive-search-working-with-skillset
 
 ## Prerequisites
 
-+ [Visual Studio](https://visualstudio.microsoft.com/downloads/)
++ An Azure account with an active subscription. [Create an account for free](https://azure.microsoft.com/free/?WT.mc_id=A261C142F).
+
++ [Azure Storage](/azure/storage/common/storage-account-create).
 
-+ [Azure.Search.Documents 11.x NuGet package](https://www.nuget.org/packages/Azure.Search.Documents) 
++ [Azure AI Search](search-create-app-portal.md).
 
-+ [Azure Storage](/azure/storage/common/storage-account-create)
++ [Azure.Search.Documents 11.x NuGet package](https://www.nuget.org/packages/Azure.Search.Documents).
 
-+ [Azure AI Search](search-create-app-portal.md)
++ [Visual Studio](https://visualstudio.microsoft.com/downloads/).
 
 > [!NOTE]
-> You can use a free search service for this tutorial. The free tier limits you to three indexes, three indexers, and three data sources. This tutorial creates one of each. Before starting, make sure you have room on your service to accept the new resources.
+> You can use a free search service for this tutorial. The Free tier limits you to three indexes, three indexers, and three data sources. This tutorial creates one of each. Before you start, make sure you have room on your service to accept the new resources.
 
 ### Download files
 

articles/search/cognitive-search-tutorial-blob.md

@@ -1,5 +1,5 @@
 ---
-title: 'Tutorial: Skillsets using REST'
+title: 'Tutorial: Skillsets Using REST'
 titleSuffix: Azure AI Search
 description: Use the Search REST APIs to create skillsets. This skillset applies AI transformations and analyses to create searchable content from images and unstructured text.
 
@@ -9,25 +9,23 @@ ms.service: azure-ai-search
 ms.custom:
   - ignite-2023
 ms.topic: tutorial
-ms.date: 01/17/2025
+ms.date: 03/31/2025
 ---
 
 # REST Tutorial: Use skillsets to generate searchable content in Azure AI Search
 
-In this tutorial, learn how to call REST APIs that create an [AI enrichment pipeline](cognitive-search-concept-intro.md) for content extraction and transformations during indexing.
+Learn how to call REST APIs that create an [AI enrichment pipeline](cognitive-search-concept-intro.md) for content extraction and transformations during indexing.
 
-Skillsets add AI processing to raw content, making that content more uniform and searchable. Once you know how skillsets work, you can support a broad range of transformations: from image analysis, to natural language processing, to customized processing that you provide externally.
+Skillsets add AI processing to raw content, making it more uniform and searchable. Once you know how skillsets work, you can support a broad range of transformations, from image analysis to natural language processing to customized processing that you provide externally.
 
-This tutorial helps you learn how to:
+In this tutorial, you:
 
 > [!div class="checklist"]
 > + Define objects in an enrichment pipeline.
 > + Build a skillset. Invoke OCR, language detection, entity recognition, and key phrase extraction.
 > + Execute the pipeline. Create and load a search index.
 > + Check the results using full text search.
 
-If you don't have an Azure subscription, open a [free account](https://azure.microsoft.com/free/?WT.mc_id=A261C142F) before you begin.
-
 ## Overview
 
 This tutorial uses a REST client and the [Azure AI Search REST APIs](/rest/api/searchservice/) to create a data source, index, indexer, and skillset.
@@ -38,20 +36,22 @@ Once content is extracted, the [skillset](cognitive-search-working-with-skillset
 
 ## Prerequisites
 
-+ [Visual Studio Code](https://code.visualstudio.com/download) with a [REST client](https://marketplace.visualstudio.com/items?itemName=humao.rest-client)
++ An Azure account with an active subscription. [Create an account for free](https://azure.microsoft.com/free/?WT.mc_id=A261C142F).
 
 + [Azure Storage](/azure/storage/common/storage-account-create)
 
 + [Azure AI Search](search-create-app-portal.md)
 
++ [Visual Studio Code](https://code.visualstudio.com/download) with a [REST client](https://marketplace.visualstudio.com/items?itemName=humao.rest-client)
+
 > [!NOTE]
-> You can use a free search service for this tutorial. The free tier limits you to three indexes, three indexers, and three data sources. This tutorial creates one of each. Before starting, make sure you have room on your service to accept the new resources.
+> You can use a free search service for this tutorial. The Free tier limits you to three indexes, three indexers, and three data sources. This tutorial creates one of each. Before you start, make sure you have room on your service to accept the new resources.
 
 ### Download files
 
 Download a zip file of the sample data repository and extract the contents. [Learn how](https://docs.github.com/get-started/start-your-journey/downloading-files-from-github).
 
-+ [Sample data files (mixed media)](https://github.com/Azure-Samples/azure-search-sample-data/tree/main/ai-enrichment-mixed-media). 
++ [Sample data files (mixed media)](https://github.com/Azure-Samples/azure-search-sample-data/tree/main/ai-enrichment-mixed-media).
 
 + [Sample REST file](https://github.com/Azure-Samples/azure-search-rest-samples/tree/main/skillset-tutorial)