Merge pull request #5300 from haileytap/hailey-newly-owned-content

prmerger-automator[bot] · web-flow · commit 5fab496923b3 · 2025-05-30T14:00:08.000Z
[Azure Search] Tweak AR phrasing in Python, REST, and .NET samples
diff --git a/articles/search/samples-dotnet.md b/articles/search/samples-dotnet.md
@@ -10,7 +10,7 @@ ms.custom:
   - devx-track-dotnet
   - ignite-2023
 ms.topic: concept-article
-ms.date: 05/29/2025
+ms.date: 05/30/2025
 ---
 
 # C# samples for Azure AI Search
@@ -52,15 +52,15 @@ Code samples from the Azure AI Search team demonstrate features and workflows. A
 |-------------|------------------|---------|
 | [create-mvc-app](https://github.com/Azure-Samples/azure-search-dotnet-samples/tree/main/create-mvc-app) |  [Tutorial: Add search to an ASP.NET Core (MVC) app](tutorial-csharp-create-mvc-app.md) | While most samples are console applications, this MVC sample uses a web page to front the sample Hotels index, demonstrating basic search, pagination, and other server-side behaviors.|
 | [quickstart](https://github.com/Azure-Samples/azure-search-dotnet-samples/tree/main/quickstart/v11) | [Quickstart: Full-text search using the Azure SDKs](search-get-started-text.md) | Covers the basic workflow for creating, loading, and querying a search index in C# using sample data. |
-| [quickstart-agentic-retrieval](https://github.com/Azure-Samples/azure-search-dotnet-samples/tree/main/quickstart-agentic-retrieval) | [Quickstart: Run agentic retrieval in Azure AI Search](search-get-started-agentic-retrieval.md) | Creates an LLM-powered knowledge agent that retrieves and synthesizes information from your search index. |
+| [quickstart-agentic-retrieval](https://github.com/Azure-Samples/azure-search-dotnet-samples/tree/main/quickstart-agentic-retrieval) | [Quickstart: Run agentic retrieval in Azure AI Search](search-get-started-agentic-retrieval.md) | Creates a knowledge agent in Azure AI Search to integrate LLM reasoning into query planning. |
 | [quickstart-semantic-search](https://github.com/Azure-Samples/azure-search-dotnet-samples/blob/main/quickstart-semantic-search/) | [Quickstart: Semantic ranking using the Azure SDKs](search-get-started-semantic.md) | Shows the index schema and query request for invoking semantic ranker. |
 | [search-website](https://github.com/Azure-Samples/azure-search-static-web-app) | [Tutorial: Add search to web apps](tutorial-csharp-overview.md) | Demonstrates an end-to-end search app that includes bulk upload using the push APIs and a rich client for hosting the app and handling search requests.|
 | [tutorial-ai-enrichment](https://github.com/Azure-Samples/azure-search-dotnet-samples/tree/main/tutorial-ai-enrichment)  | [Tutorial: AI-generated searchable content from Azure blobs](cognitive-search-tutorial-blob-dotnet.md) | Shows how to configure an indexer and skillset. |
 | [multiple-data-sources](https://github.com/Azure-Samples/azure-search-dotnet-scale/tree/main/multiple-data-sources)  | [Tutorial: Index from multiple data sources](tutorial-multiple-data-sources.md) | Merges content from two data sources into one search index. |
 | [Optimize-data-indexing](https://github.com/Azure-Samples/azure-search-dotnet-scale/tree/main/optimize-data-indexing) | [Tutorial: Optimize indexing with the push API](tutorial-optimize-indexing-push-api.md) | Demonstrates optimization techniques for pushing data into a search index. |
 | [DotNetHowTo](https://github.com/Azure-Samples/search-dotnet-getting-started/tree/master/DotNetHowTo)  | [How to use the .NET client library](search-howto-dotnet-sdk.md) | Steps through the basic workflow, but in more detail and with discussion of API usage.  |
 | [DotNetToIndexers](https://github.com/Azure-Samples/search-dotnet-getting-started/tree/master/DotNetHowToIndexers) | [Tutorial: Index Azure SQL data](search-indexer-tutorial.md) | Shows how to configure an Azure SQL indexer that has a schedule, field mappings, and parameters.  |
-| [DotNetHowToEncryptionUsingCMK](https://github.com/Azure-Samples/search-dotnet-getting-started/tree/master/DotNetHowToEncryptionUsingCMK)  | [How to configure customer-managed keys for data encryption](search-security-manage-encryption-keys.md) | Shows how to create objects that are encrypted with a Customer Key. |
+| [DotNetHowToEncryptionUsingCMK](https://github.com/Azure-Samples/search-dotnet-getting-started/tree/master/DotNetHowToEncryptionUsingCMK) | [How to configure customer-managed keys for data encryption](search-security-manage-encryption-keys.md) | Shows how to create objects that are encrypted with a Customer Key. |
 | [DotNetVectorDemo](https://github.com/Azure/azure-search-vector-samples/tree/main/demo-dotnet/DotNetVectorDemo)  | [readme](https://github.com/Azure/azure-search-vector-samples/tree/main/demo-dotnet/DotNetVectorDemo/readme.md) | Create, load, and query a vector index. |
 | [DotNetIntegratedVectorizationDemo](https://github.com/Azure/azure-search-vector-samples/tree/main/demo-dotnet/DotNetIntegratedVectorizationDemo)  | [readme](https://github.com/Azure/azure-search-vector-samples/tree/main/demo-dotnet/DotNetIntegratedVectorizationDemo/readme.md) | Extends the vector workflow to include skills-based automation for data chunking and embedding. |
 
diff --git a/articles/search/samples-python.md b/articles/search/samples-python.md
@@ -11,7 +11,7 @@ ms.custom:
   - devx-track-python
   - ignite-2023
 ms.topic: concept-article
-ms.date: 05/29/2025
+ms.date: 05/30/2025
 ---
 
 # Python samples for Azure AI Search
@@ -41,7 +41,7 @@ Code samples from the Azure AI Search team demonstrate features and workflows. M
 | [Quickstart-RAG](https://github.com/Azure-Samples/azure-search-python-samples/tree/main/Quickstart-RAG) | Source code for the Python portion of [Quickstart: Generative search (RAG) with grounding data from Azure AI Search](search-get-started-rag.md). |
 | [Quickstart-Semantic-Search](https://github.com/Azure-Samples/azure-search-python-samples/tree/main/Quickstart-Semantic-Search) | Source code for the Python portion of [Quickstart: Semantic ranking using the Azure SDKs](search-get-started-semantic.md). This sample shows the index schema and query request for invoking semantic ranker. |
 | [Tutorial-RAG](https://github.com/Azure-Samples/azure-search-python-samples/tree/main/Tutorial-RAG) | Source code for the Python portion of [How to build a RAG solution using Azure AI Search](tutorial-rag-build-solution.md).|
-| [agentic-retrieval-pipeline-example](https://github.com/Azure-Samples/azure-search-python-samples/tree/main/agentic-retrieval-pipeline-example) | Source code for the Python portion of [Build an agent-to-agent retrieval solution using Azure AI Search](search-agentic-retrieval-how-to-pipeline.md). Unlike the [quickstart](search-get-started-agentic-retrieval.md), this sample incorporates Azure AI Foundry Agent Service for data retrieval and orchestration. |
+| [agentic-retrieval-pipeline-example](https://github.com/Azure-Samples/azure-search-python-samples/tree/main/agentic-retrieval-pipeline-example) | Source code for the Python portion of [Build an agent-to-agent retrieval solution using Azure AI Search](search-agentic-retrieval-how-to-pipeline.md). Unlike [Quickstart: Run agentic retrieval in Azure AI Search](search-get-started-agentic-retrieval.md), this sample incorporates Azure AI Agent for request orchestration. |
 | [azure-function-search](https://github.com/Azure-Samples/azure-search-python-samples/tree/main/azure-function-search) | Source code for the Python example of an Azure function that sends queries to a search service. You can substitute this Python version of the `api` code used in the [Add search to web sites](tutorial-csharp-overview.md) C# sample. |
 | [bulk-insert](https://github.com/Azure-Samples/azure-search-python-samples/tree/main/bulk-insert) | Source code for the Python example of how to [use the push APIs](search-how-to-load-search-index.md) to upload and index documents. |
 
diff --git a/articles/search/samples-rest.md b/articles/search/samples-rest.md
@@ -9,7 +9,7 @@ ms.service: azure-ai-search
 ms.custom:
   - ignite-2023
 ms.topic: concept-article
-ms.date: 05/29/2025
+ms.date: 05/30/2025
 ---
 
 # REST samples for Azure AI Search
@@ -28,7 +28,7 @@ Code samples from the Azure AI Search team demonstrate features and workflows. M
 |---------|---------|
 | [quickstart](https://github.com/Azure-Samples/azure-search-rest-samples/tree/main/Quickstart) | Source code for [Quickstart: Text search using REST](search-get-started-rest.md). This sample covers the basic workflow for creating, loading, and querying a search index using sample data. |
 | [quickstart-vectors](https://github.com/Azure-Samples/azure-search-rest-samples/tree/main/Quickstart-vectors) | Source code for [Quickstart: Vector search using REST APIs](search-get-started-vector.md). This sample covers the basic workflow for indexing and querying vector data. |
-| [quickstart-agentic-retrieval](https://github.com/Azure-Samples/azure-search-rest-samples/tree/main/agentic-retrieval) | Source code for the REST portion of [Quickstart: Run agentic retrieval in Azure AI Search](search-get-started-agentic-retrieval.md). This sample shows you how to create an LLM-powered knowledge agent that retrieves and synthesizes information from your search index. |
+| [quickstart-agentic-retrieval](https://github.com/Azure-Samples/azure-search-rest-samples/tree/main/agentic-retrieval) | Source code for the REST portion of [Quickstart: Run agentic retrieval in Azure AI Search](search-get-started-agentic-retrieval.md). This sample shows you how to create a knowledge agent in Azure AI Search to integrate LLM reasoning into query planning. |
 | [skillset-tutorial](https://github.com/Azure-Samples/azure-search-rest-samples/tree/main/skillset-tutorial) | Source code for [Tutorial: Use REST and AI to generate searchable content from Azure blobs](cognitive-search-tutorial-blob.md). This sample shows you how to create a skillset that iterates over Azure blobs to extract information and infer structure.|
 | [skill examples](https://github.com/Azure-Samples/azure-search-rest-samples/tree/main/skill-examples) | Skillset examples in indexer pipelines that include indexes and indexers so that you can follow field mappings, output field mappings, and source paths. |
 | [debug-sessions](https://github.com/Azure-Samples/azure-search-rest-samples/tree/main/Debug-sessions) | Source code for [Tutorial: Diagnose, repair, and commit changes to your skillset](cognitive-search-tutorial-debug-sessions.md). This sample shows you how to use a skillset debug session in the Azure portal. REST is used to create the objects used during debug.|
@@ -38,4 +38,4 @@ Code samples from the Azure AI Search team demonstrate features and workflows. M
 | [projections](https://github.com/Azure-Samples/azure-search-rest-samples/tree/main/projections) | Source code for [Define projections in a knowledge store](knowledge-store-projections-examples.md). This sample explains how to specify the physical data structures in a knowledge store.|
 
 > [!TIP]
-> Try the [Samples browser](/samples/browse/?expanded=azure&languages=http&products=azure-cognitive-search) to search for Microsoft code samples in GitHub, filtered by product, service, and language.
+> Try the [Samples browser](/samples/browse/?expanded=azure&languages=http&products=azure-cognitive-search) to search for Microsoft code samples in GitHub, filtered by product, service, and language.
