Productivity tools - Azure AI Search

Productivity tools are built by engineers at Microsoft, but aren't part of the Azure AI Search service and aren't under Service Level Agreement (SLA). These tools are provided as source code that you can download, modify, and build to create an app that helps you develop or maintain a search solution.

Tool name	Description	Source code
Back up and Restore	Download the retrievable fields of an index to your local device and then upload the index and its content to a new search service.	https://github.com/liamca/azure-search-backup-restore
Chat with your data solution accelerator	Code and docs to create interactive search solution in production environments.	https://github.com/Azure-Samples/chat-with-your-data-solution-accelerator
Knowledge Mining Accelerator	Code and docs to jump start a knowledge store using your data.	https://github.com/Azure-Samples/azure-search-knowledge-mining
Performance testing solution	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.	https://github.com/Azure-Samples/azure-search-performance-testing
Visual Studio Code extension	Although the extension is no longer available in the Visual Studio Code Marketplace, the code is open sourced at https://github.com/microsoft/vscode-azurecognitivesearch. You can clone and modify the tool for your own use.