Skip to content

Latest commit

 

History

History
10 lines (6 loc) · 483 Bytes

File metadata and controls

10 lines (6 loc) · 483 Bytes

RAG Tutorial: Basic to Advanced

This repo contains tutorials and materials on RAG (retrieval-augmented generation).

RAG From Scratch

An implementation of a RAG-powered chatbot from scratch, just using openai API and numpy without any additional frameworks. This is the best way to understand how RAG works under the hood.

Advanced RAG

Talk of mine on advanced rag concepts and techniques. From Text splitting to evaluating RAG systems and building autonomous AI agents.