Enterprise RAG Orchestrator

This Orchestrator is part of the Enterprise RAG (GPT-RAG) Solution Accelerator.

To learn more about the Enterprise RAG, please go to https://aka.ms/gpt-rag.

Cloud Deployment

To deploy the orchestrator in the cloud for the first time, please follow the deployment instructions provided in the Enterprise RAG repo.

These instructions include the necessary infrastructure templates to provision the solution in the cloud.

Once the infrastructure is provisioned, you can redeploy just the orchestrator component using the instructions below:

First, please confirm that you have met the prerequisites:

Azure Developer CLI: Download azd for Windows, Other OS's.
Git: Download Git
Python 3.10: Download Python

Then just clone this repository and reproduce the following commands within the gpt-rag-orchestrator directory:

azd auth login  
azd env refresh  
azd deploy

Note: when running the azd env refresh, use the same environment name, subscription, and region used in the initial provisioning of the infrastructure.

Running Locally with VS Code

How can I test the solution locally in VS Code?

Evaluating

How to test the orchestrator performance?

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.

Trademarks