Create a RAG-based GitHub Copilot Extension in Python
Introduction
RAG Overview
Vector Database
Create GitHub Application
Build a RAG System
Infrastructure Deployment
Configure GitHub Application
Test the installation
Next Steps
Create a RAG-based GitHub Copilot Extension in Python
Chat with your extension
After updating your GitHub App settings, you can start chatting with your extension.
Simply type @YOUR-EXTENSION-NAME in the Copilot Chat window (replace YOUR-EXTENSION-NAME with your extension’s actual name), followed by your prompt:
Publish Your Extension on the Marketplace (Optional)
For the latest information on how to publish your extension on the Marketplace, follow the official documentation for listing your extension on the marketplace .
Enhancements
There are several ways to enhance your extension:
Custom Links - inserting your own hard-coded links or resources into the response stream.
Improved conversation flow - consider adding another copilot invocation to rephrase previous conversation segments before initiating the main copilot invocation. This can produce more robust results, especially when users reference earlier parts of the conversation in their question.
Tailor these possible enhancements of your RAG extension to your use case, making your extension as effective and user-friendly as possible.
Conclusion
Congratulations on completing this Learning Path! By following the steps and processes you learned here, you can now create powerful and customized Copilot extensions to boost your development workflow.