Learn everything about RAG with actual code

Reddit r/AI_Agents Tools
rag retrieval-augmented-generation documentation open-source education tutorial framework

Summary

The author announces education-first documentation for the open-source RAG framework RAG Me Up, explaining RAG concepts with code and runnable examples.

I have finally gotten around to write the full education-first documentation of one of the oldest open source RAG frameworks out there: RAG Me Up. We've been doing RAG in production for about 4 years now and still going strong and I have had long lasting ambitions to write its documentation in the same style and manner as my university lectures to grad students. Finally I have gotten around to do this and you can read all about RAG via the link in the comments, where I think the coolest bit of this all is that you don't just get to understand the concepts of RAG in full (RAG Me Up is pretty comprehensive still to this day) but you also get to see how this would actually work in code and you get to directly run and try it out yourself. Give it a read if you like and let me know what you think.
Original Article

Similar Articles

@mate_mattt: I built a real, runnable RAG project and a Notebook RAG practical course, breaking down RAG pixel by pixel: Markdown chunking → FTS5 / BM25 → Embedding vector search → Hybrid recall RRF → Cross-Encod…

X AI KOLs Timeline

This is a hands-on project for learning local RAG retrieval core from scratch, including Notebook and real runnable code. It covers the complete workflow: Markdown chunking, BM25, Embedding vector search, hybrid recall RRF, Cross-Encoder re-ranking, and comes with evaluation metrics.

RAG-Anything: All-in-One RAG Framework

Papers with Code Trending

RAG-Anything is a new open-source framework that enhances multimodal knowledge retrieval by integrating cross-modal relationships and semantic matching, outperforming existing methods on complex benchmarks.