Merge pull request #6417 from haileytap/miscellaneous

[Azure Search] Document new quickstart samples

Author: prmerger-automator[bot]

articles/search/samples-dotnet.md

@@ -11,7 +11,7 @@ ms.custom:
   - devx-track-dotnet
   - ignite-2023
 ms.topic: concept-article
-ms.date: 05/30/2025
+ms.date: 08/06/2025
 ---
 
 # C# samples for Azure AI Search
@@ -54,7 +54,9 @@ 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](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 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. |
+| [quickstart-rag](https://github.com/Azure-Samples/azure-search-dotnet-samples/tree/main/quickstart-rag) | [Quickstart: Generative search (RAG)](search-get-started-rag.md) | Uses grounding data from Azure AI Search with a chat completion model from Azure OpenAI. |
+| [quickstart-semantic-search](https://github.com/Azure-Samples/azure-search-dotnet-samples/blob/main/quickstart-semantic-search/) | [Quickstart: Semantic ranking](search-get-started-semantic.md) | Shows the index schema and query request for invoking semantic ranker. |
+| [quickstart-vector-search](https://github.com/Azure-Samples/azure-search-dotnet-samples/tree/main/quickstart-vector-search) | [Quickstart: Vector search](search-get-started-vector.md) | Covers the basic workflow for indexing and querying vector data. |
 | [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](tutorial-skillset.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. |

articles/search/samples-javascript.md

@@ -12,7 +12,7 @@ ms.custom:
   - devx-track-js
   - ignite-2023
 ms.topic: concept-article
-ms.date: 03/10/2025
+ms.date: 08/06/2025
 ---
 
 # JavaScript samples for Azure AI Search
@@ -31,7 +31,7 @@ Learn about the JavaScript code samples that demonstrate the functionality and w
 
 Code samples from the Azure SDK development team demonstrate API usage. You can find these samples in [**azure-sdk-for-js/tree/main/sdk/search/search-documents/samples**](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/search/search-documents/samples) on GitHub.
 
-### JavaScript SDK samples
+### JavaScript samples
 
 | Samples | Description |
 |---------|-------------|
@@ -57,11 +57,24 @@ Code samples from the Azure SDK development team demonstrate API usage. You can
 
 Code samples from the Azure AI Search team demonstrate features and workflows. Many of these samples are referenced in tutorials, quickstarts, and how-to articles. You can find these samples in [**Azure-Samples/azure-search-javascript-samples**](https://github.com/Azure-Samples/azure-search-javascript-samples) on GitHub.
 
+### JavaScript samples
+
 | Samples | Article |
 |---------|---------|
 | [quickstart](https://github.com/Azure-Samples/azure-search-javascript-samples/tree/main/quickstart) | Source code for the JavaScript portion of [Quickstart: Full-text search](search-get-started-text.md). Covers the basic workflow for creating, loading, and querying a search index using sample data. |
+| [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). Uses 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). Shows the index schema and query request for invoking semantic ranker. |
+| [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). Covers the basic workflow for indexing and querying vector data. |
 | [bulk-insert](https://github.com/Azure-Samples/azure-search-javascript-samples/tree/main/bulk-insert) | Source code for the JavaScript example of how to [use the push APIs](search-how-to-load-search-index.md) to upload and index documents. |
 | [azure-functions](https://github.com/Azure-Samples/azure-search-javascript-samples/tree/main/azure-function-search) | Source code for the 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. |
+
+### TypesScript samples
+
+| Samples | Article |
+|---------|---------|
+| [quickstart-rag-ts](https://github.com/Azure-Samples/azure-search-javascript-samples/tree/main/quickstart-rag-ts) | Source code for the TypeScript portion of [Quickstart: Generative search (RAG)](search-get-started-rag.md). Uses grounding data from Azure AI Search with a chat completion model from Azure OpenAI. |
+| [quickstart-semantic-ranking-ts](https://github.com/Azure-Samples/azure-search-javascript-samples/tree/main/quickstart-semantic-ranking-ts) | Source code for the TypeScript portion of [Quickstart: Semantic ranking](search-get-started-semantic.md). Shows the index schema and query request for invoking semantic ranker. |
+| [quickstart-vector-ts](https://github.com/Azure-Samples/azure-search-javascript-samples/tree/main/quickstart-vector-ts) | Source code for the TypeScript portion of [Quickstart: Vector search](search-get-started-vector.md). Covers the basic workflow for indexing and querying vector data. |
 > [!TIP]
 > Try the [Samples browser](/samples/browse/?languages=javascript&products=azure-cognitive-search) to search for Microsoft code samples in GitHub, filtered by product, service, and language.
 

articles/search/samples-python.md

@@ -12,7 +12,7 @@ ms.custom:
   - devx-track-python
   - ignite-2023
 ms.topic: concept-article
-ms.date: 05/30/2025
+ms.date: 08/06/2025
 ---
 
 # Python samples for Azure AI Search
@@ -40,7 +40,8 @@ Code samples from the Azure AI Search team demonstrate features and workflows. M
 | [Quickstart](https://github.com/Azure-Samples/azure-search-python-samples/tree/main/Quickstart) | Source code for the Python portion of [Quickstart: Full-text search](search-get-started-text.md). This sample covers the basic workflow for creating, loading, and querying a search index using sample data. |
 | [Quickstart-Agentic-Retrieval](https://github.com/Azure-Samples/azure-search-python-samples/tree/main/Quickstart-Agentic-Retrieval) | Source code for the Python portion of [Quickstart: Run agentic retrieval in Azure AI Search](search-get-started-agentic-retrieval.md). |
 | [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. |
+| [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](search-get-started-semantic.md). This sample shows the index schema and query request for invoking semantic ranker. |
+| [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). Covers the basic workflow for indexing and querying vector data. |
 | [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 [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. |