Merge pull request #3969 from HeidiSteen/release-azs-5

Regions for document layout

Author: prmerger-automator[bot]

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/search-how-to-semantic-chunking.md

@@ -6,7 +6,7 @@ author: rawan
 ms.author: rawan
 ms.service: azure-ai-search
 ms.topic: how-to
-ms.date: 11/22/2024
+ms.date: 04/07/2025
 ms.custom:
   - references_regions
   - ignite-2024
@@ -36,13 +36,15 @@ For illustration purposes, this article uses the [sample health plan PDFs](https
 
 + [An indexer-based indexing pipeline](search-indexer-overview.md) with an index that accepts the output. The index must have fields for receiving headings and content.
 
++ [An index projection](search-how-to-define-index-projections.md) for one-to-many indexing.
+
 + [A supported data source](search-indexer-overview.md#supported-data-sources) having text content that you want to chunk.
 
-+ [A skillset with Document Layout skill](cognitive-search-skill-document-intelligence-layout.md) that splits documents based on paragraph boundaries.
++ A skillset with these two skills:
 
-+ [An Azure OpenAI Embedding skill](cognitive-search-skill-azure-openai-embedding.md) that generates vector embeddings.
+  + [Document Layout skill](cognitive-search-skill-document-intelligence-layout.md) that splits documents based on paragraph boundaries. This skill has region requirements. An Azure AI multi-service resource must be in the same region as Azure AI Search with AI Enrichment.
 
-+ [An index projection](search-how-to-define-index-projections.md) for one-to-many indexing.
+  + [Azure OpenAI Embedding skill](cognitive-search-skill-azure-openai-embedding.md) that generates vector embeddings. This skill also has region requirements. The model must be in the same region as Azure AI Search.
 
 ## Prepare data files
 
@@ -52,7 +54,7 @@ The raw inputs must be in a [supported data source](search-indexer-overview.md#s
 
 + Supported indexers can be any indexer that can handle the supported file formats. These indexers include [Blob indexers](search-howto-indexing-azure-blob-storage.md), [OneLake indexers](search-how-to-index-onelake-files.md), [File indexers](search-file-storage-integration.md).
 
-+ Supported regions for this feature include: East US, West US2, West Europe, North Central US. Be sure to [check this list](search-region-support.md#azure-public-regions) for updates on regional availability.
++ Supported regions for the portal experience of this feature include: East US, West Europe, North Central US. If your setting up your skillset programmatically, you can use any Document Intelligence region that also provides the AI enrichment feature of Azure AI Search. For more information, see [Product availability by region](https://azure.microsoft.com/explore/global-infrastructure/products-by-region/table).
 
 You can use the Azure portal, REST APIs, or an Azure SDK package to [create a data source](search-howto-indexing-azure-blob-storage.md).