Updated samples

haileytap · haileytap · commit b6c2cdf9d023 · 2025-09-19T15:22:04.000-04:00
diff --git a/articles/search/samples-dotnet.md b/articles/search/samples-dotnet.md
@@ -43,7 +43,7 @@ Code samples from the Azure SDK development team demonstrate API usage. You can
 
 ## Doc samples
 
-Code samples from the Azure AI Search team demonstrate features and workflows. The following samples are referenced in tutorials, quickstarts, and how-to articles that explain the code in detail. You can find these samples in [Azure-Samples/azure-search-dotnet-samples](https://github.com/Azure-Samples/azure-search-dotnet-samples) and [Azure-Samples/search-dotnet-getting-started](https://github.com/Azure-Samples/search-dotnet-getting-started/) on GitHub.
+Code samples from the Azure AI Search team demonstrate features and workflows. Many of the following samples are referenced in tutorials, quickstarts, and how-to articles that explain the code in detail. You can find these samples in [Azure-Samples/azure-search-dotnet-samples](https://github.com/Azure-Samples/azure-search-dotnet-samples) and [Azure-Samples/search-dotnet-getting-started](https://github.com/Azure-Samples/search-dotnet-getting-started/) on GitHub.
 
 | Sample | Description |
 |--|--|
@@ -54,7 +54,7 @@ Code samples from the Azure AI Search team demonstrate features and workflows. T
 | [quickstart-vector-search](https://github.com/Azure-Samples/azure-search-dotnet-samples/tree/main/quickstart-vector-search) | Source code for the C# portion of [Quickstart: Vector search](search-get-started-vector.md). Index and query vector content. |
 | [create-mvc-app](https://github.com/Azure-Samples/azure-search-dotnet-samples/tree/main/create-mvc-app) | Source code for [Tutorial: Add search to an ASP.NET Core (MVC) app](tutorial-csharp-create-mvc-app.md). Add basic search, pagination, and other server-side behaviors to an MVC web app, unlike the console applications used in most samples. |
 | [search-website](https://github.com/Azure-Samples/azure-search-static-web-app) | Source code for [Tutorial: Add search to web apps](tutorial-csharp-overview.md). Build an end-to-end search app that uses the push API for bulk upload 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) | Source code for [Tutorial: AI-generated searchable content from Azure blobs](tutorial-skillset.md). Configure an indexer and skillset for AI enrichment. |
+| [tutorial-ai-enrichment](https://github.com/Azure-Samples/azure-search-dotnet-samples/tree/main/tutorial-ai-enrichment) | Source code for [Tutorial: AI-generated searchable content from Azure blobs](tutorial-skillset.md). Create a skillset that iterates over Azure blobs to extract information and infer structure. |
 | [multiple-data-sources](https://github.com/Azure-Samples/azure-search-dotnet-scale/tree/main/multiple-data-sources) | Source code for [Tutorial: Index from multiple data sources](tutorial-multiple-data-sources.md). Merge content from two data sources into one index. |
 | [optimize-data-indexing](https://github.com/Azure-Samples/azure-search-dotnet-scale/tree/main/optimize-data-indexing) | Source code for [Tutorial: Optimize indexing with the push API](tutorial-optimize-indexing-push-api.md). Use optimization techniques for pushing data into an index. |
 | [DotNetHowTo](https://github.com/Azure-Samples/search-dotnet-getting-started/tree/master/DotNetHowTo) | Source code for [Use the .NET client library](search-howto-dotnet-sdk.md). Create and manage multiple search objects while learning about the APIs. |
diff --git a/articles/search/samples-java.md b/articles/search/samples-java.md
@@ -44,7 +44,7 @@ Code samples from the Azure SDK development team demonstrate API usage. You can
 
 ## Doc samples
 
-Code samples from the Azure AI Search team demonstrate features and workflows. The following samples are referenced in tutorials, quickstarts, and how-to articles that explain the code in detail. You can find these samples in [Azure-Samples/azure-search-java-samples](https://github.com/Azure-Samples/azure-search-java-samples) on GitHub.
+Code samples from the Azure AI Search team demonstrate features and workflows. Many of the following samples are referenced in tutorials, quickstarts, and how-to articles that explain the code in detail. You can find these samples in [Azure-Samples/azure-search-java-samples](https://github.com/Azure-Samples/azure-search-java-samples) on GitHub.
 
 | Sample | Article |
 |--|--|
diff --git a/articles/search/samples-javascript.md b/articles/search/samples-javascript.md
@@ -64,7 +64,7 @@ Code samples from the Azure AI Search team demonstrate features and workflows. M
 | [quickstart-rag-js](https://github.com/Azure-Samples/azure-search-javascript-samples/tree/main/quickstart-rag-js) | Source code for the JavaScript portion of [Quickstart: Generative search (RAG)](search-get-started-rag.md). Use grounding data from Azure AI Search with a chat completion model from Azure OpenAI. |
 | [quickstart-semantic-ranking-js](https://github.com/Azure-Samples/azure-search-javascript-samples/tree/main/quickstart-semantic-ranking-js) | Source code for the JavaScript portion of [Quickstart: Semantic ranking](search-get-started-semantic.md). Add semantic ranking to an index schema and run semantic queries. |
 | [quickstart-vector-js](https://github.com/Azure-Samples/azure-search-javascript-samples/tree/main/quickstart-vector-js) | Source code for the JavaScript portion of [Quickstart: Vector search](search-get-started-vector.md). Index and query vector content. |
-| [azure-functions](https://github.com/Azure-Samples/azure-search-javascript-samples/tree/main/azure-function-search) | JavaScript example of an Azure function that sends queries to a search service. You can substitute this JavaScript version of the `api` code used in the [Add search to web sites](tutorial-csharp-overview.md) C# sample. |
+| [azure-functions](https://github.com/Azure-Samples/azure-search-javascript-samples/tree/main/azure-function-search) | JavaScript example of an Azure function that sends queries to a search service. You can substitute this JavaScript version for 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-javascript-samples/tree/main/bulk-insert) | JavaScript example of how to [use the push APIs](search-how-to-load-search-index.md) to upload and index documents. |
 
 ### TypeScript samples
diff --git a/articles/search/samples-python.md b/articles/search/samples-python.md
@@ -43,7 +43,7 @@ Code samples from the Azure AI Search team demonstrate features and workflows. M
 | [Quickstart-Vector-Search](https://github.com/Azure-Samples/azure-search-python-samples/tree/main/Quickstart-Vector-Search) | Source code for the Python portion of [Quickstart: Vector search](search-get-started-vector.md). Index and query vector content. |
 | [Tutorial-RAG](https://github.com/Azure-Samples/azure-search-python-samples/tree/main/Tutorial-RAG) | Source code for the Python portion of [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 [Quickstart: Agentic retrieval](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) | 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. |
+| [azure-function-search](https://github.com/Azure-Samples/azure-search-python-samples/tree/main/azure-function-search) | Python example of an Azure function that sends queries to a search service. You can substitute this Python version for 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) | Python example of how to [use the push APIs](search-how-to-load-search-index.md) to upload and index documents. |
 
 ## Accelerators
@@ -52,7 +52,7 @@ An accelerator is an end-to-end solution that includes code and documentation yo
 
 | Sample | Description |
 |--|--|
-| [rag-experiment-accelerator](https://github.com/microsoft/rag-experiment-accelerator) | Conduct experiments and evaluations using Azure AI Search and the RAG pattern. This accelerator has code for loading multiple data sources, using various models, and creating various search indexes and queries. |
+| [rag-experiment-accelerator](https://github.com/microsoft/rag-experiment-accelerator) | Conduct experiments and evaluations using Azure AI Search and the RAG pattern. This sample has code for loading multiple data sources, using various models, and creating various search indexes and queries. |
 
 ## Demos
 
@@ -61,17 +61,17 @@ 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 the 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). |
-| [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, while securely handling access to both the model and 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). |
+| [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). |
+| [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
 
 The following samples are also published by the Azure AI Search team but aren't referenced in documentation. Associated README files provide usage instructions.
 
 | Sample | Description |
 |--|--|
-| [index-backup-and-restore.ipynb](https://github.com/Azure/azure-search-vector-samples/tree/main/demo-python/code/utilities/index-backup-restore) | Uses the azure.search.documents library in the Azure SDK for Python to make a local copy of the retrievable fields of an index and push those fields to a new index. |
-| [resumable-index-backup-restore](https://github.com/Azure/azure-search-vector-samples/blob/main/demo-python/code/utilities/resumable-index-backup-restore/backup-and-restore.ipynb) | Supports larger indexes that exceed 100,000 documents.|
+| [index-backup-and-restore.ipynb](https://github.com/Azure/azure-search-vector-samples/tree/main/demo-python/code/utilities/index-backup-restore) | Make a local copy of retrievable fields in an index and push those fields to a new index. |
+| [resumable-index-backup-restore](https://github.com/Azure/azure-search-vector-samples/blob/main/demo-python/code/utilities/resumable-index-backup-restore/backup-and-restore.ipynb) | Back up and restore larger indexes that exceed 100,000 documents.|
 
 > [!TIP]
 > Use the [samples browser](/samples/browse/?languages=python&products=azure-cognitive-search) to search for Microsoft code samples on GitHub. You can filter your search by product, service, and language.
diff --git a/articles/search/samples-rest.md b/articles/search/samples-rest.md
@@ -22,16 +22,16 @@ You can use any client that supports HTTP calls. To learn how to formulate the H
 
 ## Doc samples
 
-Code samples from the Azure AI Search team demonstrate features and workflows. Many of the following samples are referenced in tutorials, quickstarts, and how-to articles. You can find these samples in [**Azure-Samples/azure-search-rest-samples**](https://github.com/Azure-Samples/azure-search-rest-samples) on GitHub.
+Code samples from the Azure AI Search team demonstrate features and workflows. Many of the following samples are referenced in tutorials, quickstarts, and how-to articles. You can find these samples in [Azure-Samples/azure-search-rest-samples](https://github.com/Azure-Samples/azure-search-rest-samples) on GitHub.
 
 | Sample | Description |
 |--|--|
 | [quickstart](https://github.com/Azure-Samples/azure-search-rest-samples/tree/main/Quickstart) | Source code for the REST portion of [Quickstart: Full-text search](search-get-started-text.md). Create, load, and query a search index using sample data. |
 | [quickstart-agentic-retrieval](https://github.com/Azure-Samples/azure-search-rest-samples/tree/main/Quickstart-agentic-retrieval) | Source code for the REST portion of [Quickstart: Agentic retrieval](search-get-started-agentic-retrieval.md). Integrate semantic ranking with LLM-powered query planning and answer generation. |
 | [quickstart-vectors](https://github.com/Azure-Samples/azure-search-rest-samples/tree/main/Quickstart-vectors) | Source code for the REST portion of [Quickstart: Vector search](search-get-started-vector.md). Index and query vector content. |
-| [skillset-tutorial](https://github.com/Azure-Samples/azure-search-rest-samples/tree/main/skillset-tutorial) | Source code for [Tutorial: Skillsets in Azure AI Search](tutorial-skillset.md). Create a skillset that iterates over Azure blobs to extract information and infer structure.|
+| [skillset-tutorial](https://github.com/Azure-Samples/azure-search-rest-samples/tree/main/skillset-tutorial) | Source code for [Tutorial: AI-generated searchable content from Azure blobs](tutorial-skillset.md). Create a skillset that iterates over Azure blobs to extract information and infer structure.|
 | [debug-sessions](https://github.com/Azure-Samples/azure-search-rest-samples/tree/main/Debug-sessions) | Source code for [Tutorial: Fix a skillset using Debug Sessions](cognitive-search-tutorial-debug-sessions.md). Use REST to create search objects that you later debug in the Azure portal. |
-| [custom-analyzers](https://github.com/Azure-Samples/azure-search-rest-samples/tree/main/custom-analyzers) | Source code for [Tutorial: Create a custom analyzer for phone numbers](tutorial-create-custom-analyzer.md). Use analyzers to preserve patterns and special characters in searchable content.|
+| [custom-analyzers](https://github.com/Azure-Samples/azure-search-rest-samples/tree/main/custom-analyzers) | Source code for [Tutorial: Create a custom analyzer for phone numbers](tutorial-create-custom-analyzer.md). Use an analyzer to preserve patterns and special characters in searchable content.|
 | [index-json-blobs](https://github.com/Azure-Samples/azure-search-rest-samples/tree/main/index-json-blobs) | Source code for [Tutorial: Index JSON blobs from Azure Storage](search-semi-structured-data.md). Create an indexer, data source, and index for nested JSON within a JSON array. Demonstrates the jsonArray parsing model and documentRoot parameters. |
 | [knowledge-store](https://github.com/Azure-Samples/azure-search-rest-samples/tree/main/knowledge-store) | Source code for [Create a knowledge store using REST](knowledge-store-create-rest.md). Populate a knowledge store for knowledge mining workflows. |
 | [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). Specify the physical data structures in a knowledge store.|
