Understanding Your RAG + MCP Setup – Possible Code Share?

[alikalik9]

First of all, I just want to say: fantastic project — it's incredibly helpful and well executed!

This might be a bit of a naive question, but I was wondering if you'd consider open-sourcing parts of the codebase — specifically the components related to how you implemented the RAG (Retrieval-Augmented Generation) pipeline.

I'm not necessarily interested in internal Microsoft Learn content or proprietary data, but more in how you structured the RAG index over your knowledge base and connected it to an MCP server. I suspect you’re using Azure AI services, which makes it even more interesting for those of us exploring similar use cases.

Seeing how you approached this could be valuable for the community, especially for those looking to build knowledge-based assistants or internal copilots.

Thanks again for the great work, and looking forward to your thoughts!

[pdebruin]

Hi @alikalik9, glad you like it 🙂

Have you seen this? https://devblogs.microsoft.com/engineering-at-microsoft/how-we-built-ask-learn-the-rag-based-knowledge-service/ It was published in April 2024 and may not show all the details, but should give you an impression of the knowledge service. The service is used in multiple locations including Copilot for Azure and Learn Q&A, and now through MCP.

cc @TianqiZhang for awareness