@@ -140,4 +140,4 @@ A response from the query might look like the following JSON.
 
 + [Create a hybrid query](hybrid-search-how-to-query.md)
 + [Relevance scoring in hybrid search](hybrid-search-ranking.md)
-+ [Outperform vector search with hybrid retrieval and ranking (Tech blog)](https://techcommunity.microsoft.com/t5/azure-ai-services-blog/azure-cognitive-search-outperforming-vector-search-with-hybrid/ba-p/3929167)
++ [Outperform vector search with hybrid retrieval and ranking (Tech blog)](https://techcommunity.microsoft.com/blog/azure-ai-foundry-blog/azure-ai-search-outperforming-vector-search-with-hybrid-retrieval-and-reranking/3929167)

@@ -17,7 +17,7 @@ Learn about Java code samples that demonstrate the functionality and workflow of
 
 | Target | Link |
 |--|--|
-| Package download | [search.maven.org/artifact/com.azure/azure-search-documents](https://search.maven.org/artifact/com.azure/azure-search-documents) |
+| Package download | [search.maven.org/artifact/com.azure/azure-search-documents](https://central.sonatype.com/artifact/com.azure/azure-search-documents) |
 | API reference | [com.azure.search.documents](/java/api/com.azure.search.documents)  |
 | API test cases | [github.com/Azure/azure-sdk-for-java/tree/main/sdk/search/azure-search-documents/src/test](https://github.com/Azure/azure-sdk-for-java/tree/main/sdk/search/azure-search-documents/src/test) |
 | Source code | [github.com/Azure/azure-sdk-for-java/tree/main/sdk/search/azure-search-documents](https://github.com/Azure/azure-sdk-for-java/tree/main/sdk/search/azure-search-documents)  |

@@ -53,7 +53,7 @@ A demo repo provides proof-of-concept source code for examples or scenarios show
 | Sample | Description |
 |--|--|
 | [azure-search-vector-samples](https://github.com/Azure/azure-search-vector-samples/blob/main) | Comprehensive collection of samples for vector search scenarios, organized by scenario or technology. |
-| [azure-search-openai-demo](https://github.com/Azure-Samples/azure-search-openai-demo/blob/main) | ChatGPT-like experience over enterprise data with Azure OpenAI Python code showing how to use Azure AI Search with large language models in Azure OpenAI. For background, see this [blog post](https://techcommunity.microsoft.com/blog/azure-ai-services-blog/revolutionize-your-enterprise-data-with-chatgpt-next-gen-apps-w-azure-openai-and/3762087). |
+| [azure-search-openai-demo](https://github.com/Azure-Samples/azure-search-openai-demo/blob/main) | ChatGPT-like experience over enterprise data with Azure OpenAI Python code showing how to use Azure AI Search with large language models in Azure OpenAI. For background, see this [blog post](https://techcommunity.microsoft.com/blog/azure-ai-foundry-blog/revolutionize-your-enterprise-data-with-chatgpt-next-gen-apps-w-azure-openai-and/3762087). |
 | [aisearch-openai-rag-audio](https://github.com/Azure-Samples/aisearch-openai-rag-audio) | "Voice to RAG." This sample demonstrates a simple architecture for voice-based generative AI applications that enables Azure AI Search RAG on top of the real-time audio API with full-duplex audio streaming from client devices. It also securely handles access to both the model and the retrieval system. Backend code is written in Python, while frontend code is written in JavaScript. For an introduction, watch this [video](https://www.youtube.com/watch?v=vXJka8xZ9Ko). |
 
 ## Other samples

@@ -4,7 +4,7 @@ description: Learn how to configure Azure AI Search knowledge sources and indexe
 ms.reviewer: vaishalishah
 ms.service: azure-ai-search
 ms.topic: how-to
-ms.date: 04/24/2026
+ms.date: 05/12/2026
 ms.custom:
   - dev-focus
 ai-usage: ai-assisted
@@ -43,7 +43,22 @@ This article focuses on the indexing automation approaches, built on this founda
 
 + You should understand how indexers and knowledge sources work and how to create an index. This article explains the configuration settings for the data source and indexer, but doesn't provide steps for creating the index. For more information about indexes designed for permission filters, see [Create an index with permission filter fields](search-index-access-control-lists-and-rbac-push-api.md#create-an-index-with-permission-filter-fields).
 
-+ This functionality isn't currently supported in the Azure portal, which includes permission filters created through the [**Import data** wizard](search-import-data-portal.md). Use a programmatic approach to create or modify existing objects for document-level access. 
+## Limitations
+
++ The Azure portal doesn't support this feature.
+
++ The following indexer features don't support permission inheritance in indexed documents originating from ADLS Gen2. If you use any of these features in a skillset or indexer, document-level permissions aren't included in the indexed content.
+
+  + [Custom Web API skill](cognitive-search-custom-skill-web-api.md)
+
+  + [GenAI Prompt skill](cognitive-search-skill-genai-prompt.md)
+
+  + [Knowledge store](knowledge-store-concept-intro.md)
+
+  + [Indexer enrichment cache](enrichment-cache-how-to-configure.md)
+
+  + [Debug sessions](cognitive-search-debug-session.md)
+
 
 ## Configure Blob Storage
 

@@ -4,7 +4,7 @@ description: Learn how to configure Azure AI Search indexers to ingest Microsoft
 ms.reviewer: gimondra
 ms.service: azure-ai-search
 ms.topic: how-to
-ms.date: 03/05/2026
+ms.date: 05/12/2026
 ---
 
 # Use an Azure AI Search indexer to ingest Microsoft Purview sensitivity labels and enforce document-level security
@@ -141,9 +141,9 @@ $managedIdentityObjectId = (Get-AzResource -ResourceId $resourceIdWithManagedIde
 $MIPResourceSP = Get-EntraServicePrincipal -Filter "appID eq '870c4f2e-85b6-4d43-bdda-6ed9a579b725'"
 New-EntraServicePrincipalAppRoleAssignment -ServicePrincipalId $managedIdentityObjectId -Principal $managedIdentityObjectId -ResourceId $MIPResourceSP.Id -Id "8b2071cd-015a-4025-8052-1c0dba2d3f64"
 
-# ARM Service Principal for policy read
-$ARMSResourceSP = Get-EntraServicePrincipal -Filter "appID eq '00000012-0000-0000-c000-000000000000'"
-New-EntraServicePrincipalAppRoleAssignment -ServicePrincipalId $managedIdentityObjectId -Principal $managedIdentityObjectId -ResourceId $ARMSResourceSP.Id -Id "7347eb49-7a1a-43c5-8eac-a5cd1d1c7cf0"
+# Microsoft Rights Management Services (MRMS) - Service Principal for policy read
+$MRMSResourceSP = Get-EntraServicePrincipal -Filter "appID eq '00000012-0000-0000-c000-000000000000'"
+New-EntraServicePrincipalAppRoleAssignment -ServicePrincipalId $managedIdentityObjectId -Principal $managedIdentityObjectId -ResourceId $MRMSResourceSP.Id -Id "7347eb49-7a1a-43c5-8eac-a5cd1d1c7cf0"
 
 ```
 
@@ -152,7 +152,7 @@ The appID roles in the provided PowerShell script are associated to the followin
 | AppID                                  | Service Principal                      | 
 | -------------------------------------- | -------------------------------------- | 
 | `870c4f2e-85b6-4d43-bdda-6ed9a579b725` | Microsoft Info Protection Sync Service | 
-| `00000012-0000-0000-c000-000000000000` | Azure Resource Manager            | 
+| `00000012-0000-0000-c000-000000000000` | Microsoft Rights Management Services   | 
 
 
 

@@ -4,7 +4,7 @@ description: Learn how query-time enforcement of Microsoft Purview sensitivity l
 ms.reviewer: gimondra
 ms.service: azure-ai-search
 ms.topic: concept-article
-ms.date: 05/04/2026
+ms.date: 05/12/2026
 ai-usage: ai-assisted
 ---
 
@@ -47,7 +47,7 @@ When you query an index that includes Microsoft Purview sensitivity labels, Azur
 ### 1. User identity and application role input
 
 At query time, Azure AI Search validates both:
-- The calling application's RBAC role, provided in the `Authorization` header.  
+- The calling application's RBAC role, provided in the `Authorization` header.  The minimum required role is `Search Index Data Reader`. For more details, review the [Azure AI Search RBAC guide](search-security-rbac.md).
 - The user identity via token, provided in the `x-ms-query-source-authorization` header.  
 
 Both are required to authorize label-based visibility.

@@ -150,4 +150,4 @@ Charges for semantic ranker occur when query requests include `queryType=semanti
 
 ## Related content
 
-* [Blog: Outperforming vector search with hybrid retrieval and ranking capabilities](https://techcommunity.microsoft.com/t5/azure-ai-services-blog/azure-cognitive-search-outperforming-vector-search-with-hybrid/ba-p/3929167)
+* [Blog: Outperforming vector search with hybrid retrieval and ranking capabilities](https://techcommunity.microsoft.com/blog/azure-ai-foundry-blog/azure-ai-search-outperforming-vector-search-with-hybrid-retrieval-and-reranking/3929167)

@@ -96,4 +96,4 @@ It's also commonly used in open-source frameworks like [LangChain](https://js.la
 + [Create a vector index](vector-search-how-to-create-index.md)
 + [Create a vector query](vector-search-how-to-query.md)
 + [azure-vector-search-samples](https://github.com/Azure-Samples/azure-vector-search-samples)
-+ [Azure Cognitive Search and LangChain: A Seamless Integration for Enhanced Vector Search Capabilities](https://techcommunity.microsoft.com/t5/azure-ai-services-blog/azure-cognitive-search-and-langchain-a-seamless-integration-for/ba-p/3901448)
++ [Azure Cognitive Search and LangChain: A Seamless Integration for Enhanced Vector Search Capabilities](https://techcommunity.microsoft.com/blog/azure-ai-foundry-blog/azure-cognitive-search-and-langchain-a-seamless-integration-for-enhanced-vector-/3901448)

@@ -120,7 +120,7 @@ Learn about the latest updates to Azure AI Search functionality, docs, and sampl
 | March | Queries | [Semantic ranker prerelease models (preview)](semantic-how-to-configure.md#opt-in-for-prerelease-semantic-ranking-models). Opt in to use prerelease semantic ranker models if one happens to be available in your region. Available in [Create or Update Index (2025-03-01-preview)](/rest/api/searchservice/indexes/create-or-update?view=rest-searchservice-2025-03-01-preview&preserve-view=true#semanticconfiguration).|
 | March | REST API | [Search Service REST 2025-03-01-preview](/rest/api/searchservice/operation-groups?view=rest-searchservice-2025-03-01-preview&preserve-view=true). Preview release of REST APIs for data plane operations. Adds support for multi-vector embeddings, hierarchical facets, facet aggregation, and facet filters. |
 | March | REST API | [Search Management 2025-02-01-preview](/rest/api/searchmanagement/operation-groups?view=rest-searchmanagement-2025-02-01-preview&preserve-view=true). Preview release of REST APIs for control plane operations. Adds support for in-place upgrade to higher capacity partitions, in-place upgrade to higher tiers, and Azure Confidential Compute. |
-| April | Demo | [RAG Time Journey](https://github.com/microsoft/rag-time). Code and video demonstrations of Retrieval Augmented Generation (RAG) workflows that use Azure AI Search. Segments include fundamentals, patterns and use-cases, [vector indexing at scale](https://github.com/microsoft/rag-time/tree/main/Journey%203%20-%20Optimize%20your%20Vector%20Index%20for%20Scale), and [agentic search](https://techcommunity.microsoft.com/blog/azure-ai-services-blog/bonus-rag-time-journey-agentic-rag/4404652) where you use an agent to evaluate a result and generate a better answer. |
+| April | Demo | [RAG Time Journey](https://github.com/microsoft/rag-time). Code and video demonstrations of Retrieval Augmented Generation (RAG) workflows that use Azure AI Search. Segments include fundamentals, patterns and use-cases, [vector indexing at scale](https://github.com/microsoft/rag-time/tree/main/Journey%203%20-%20Optimize%20your%20Vector%20Index%20for%20Scale), and [agentic search](https://techcommunity.microsoft.com/blog/azure-ai-foundry-blog/bonus-rag-time-journey-agentic-rag/4404652) where you use an agent to evaluate a result and generate a better answer. |
 | February | Security | [Customer-managed keys support for Managed HSM](search-security-manage-encryption-keys.md). Use either Azure Key Vault or Azure Key Vault Managed HSM (Hardware Security Module) to store customer-managed keys for extra encryption of sensitive content. |
 
 ## Previous year's announcements