Merge pull request #6244 from HeidiSteen/heidist-freshness

Flipped accelerators and tools

Author: Stacyrch140

articles/search/resource-tools.md

@@ -14,6 +14,16 @@ ms.date: 07/28/2025
 
 Microsoft engineers build productivity tools that aren't part of the Azure AI Search service and aren't covered by service-level agreements (SLAs). You can download, modify, and build these tools to create an app that helps you develop or maintain a search solution.
 
+## Accelerators
+
+| 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. |
+| [Knowledge mining accelerator](https://github.com/Azure-Samples/azure-search-knowledge-mining/blob/main/README.md) | Code and docs to jump start a knowledge store using your data. |
+
 ## Tools
 
 | Tool name | Description |
@@ -24,12 +34,3 @@ Microsoft engineers build productivity tools that aren't part of the Azure AI Se
 | [Performance testing solution](https://github.com/Azure-Samples/azure-search-performance-testing/blob/main/README.md) | This solution helps you load test Azure AI Search. It uses Apache JMeter as an open source load and performance testing tool and Terraform to dynamically provision and destroy the required infrastructure on Azure. |
 | [Visual Studio Code extension](https://github.com/microsoft/vscode-azurecognitivesearch) | Although the extension is no longer available on the Visual Studio Code Marketplace, the code is open source. You can clone and modify the tool for your own use. |
 
-## Accelerators
-
-| 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. |
-| [Knowledge mining accelerator](https://github.com/Azure-Samples/azure-search-knowledge-mining/blob/main/README.md) | Code and docs to jump start a knowledge store using your data. |