Merge pull request #6243 from HeidiSteen/heidist-freshness

RAG accelerator links

Author: prmerger-automator[bot]

articles/search/resource-tools.md

@@ -7,7 +7,7 @@ author: haileytap
 ms.author: haileytapia
 ms.service: azure-ai-search
 ms.topic: conceptual
-ms.date: 06/02/2025
+ms.date: 07/28/2025
 ---
 
 # Productivity tools and accelerators for Azure AI Search
@@ -28,6 +28,7 @@ Microsoft engineers build productivity tools that aren't part of the Azure AI Se
 
 | Accelerator | 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 a variety of models, and creating a variety of search indexes and queries. |
 | [Build your own copilot solution accelerator](https://github.com/microsoft/Build-your-own-copilot-Solution-Accelerator) | Code and docs to build a copilot for specific use cases. |
 | [Chat with your data solution accelerator](https://github.com/Azure-Samples/chat-with-your-data-solution-accelerator/blob/main/README.md) | Code and docs to create interactive search solution in production environments. |
 | [Document knowledge mining solution accelerator](https://github.com/microsoft/Document-Knowledge-Mining-Solution-Accelerator/blob/main/README.md) | Code and docs built on Azure OpenAI in Azure AI Foundry Models and Azure AI Document Intelligence. It processes and extracts summaries, entities, and metadata from unstructured, multimodal documents to enable searching and chatting over this data. |

articles/search/retrieval-augmented-generation-overview.md

@@ -276,6 +276,8 @@ Check out the following GitHub repositories for code, documentation, and video d
 
 ## See also
 
++ [RAG Experiment Accelerator](https://github.com/microsoft/rag-experiment-accelerator)
+
 + [Retrieval Augmented Generation: Streamlining the creation of intelligent natural language processing models](https://ai.meta.com/blog/retrieval-augmented-generation-streamlining-the-creation-of-intelligent-natural-language-processing-models/)
-+ [Retrieval Augmented Generation using Azure Machine Learning prompt flow](/azure/machine-learning/concept-retrieval-augmented-generation)
+
 + [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)

articles/search/tutorial-rag-build-solution-minimize-storage.md

@@ -334,7 +334,7 @@ Consider revisiting the [queries from the previous tutorial](tutorial-rag-build-
 
 ## Next step
 
-There are code samples in all of the Azure SDKs that provide Azure AI Search programmability. You can also review vector sample code for specific use cases and technology combinations.
+We recommend this accelerator for you next step:
 
 > [!div class="nextstepaction"]
-> [azure-search-vector-samples](https://github.com/Azure/azure-search-vector-samples)
+> [RAG Experiment Accelerator](https://github.com/microsoft/rag-experiment-accelerator)