datawhalechina/all-in-rag

Everything you need to know to build your own RAG application

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.

Demystify RAG by building it from scratch. Local LLMs, no black boxes - real understanding of embeddings, vector search, retrieval, and context-augmented generation.

A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.

A comprehensive guide to building RAG-based LLM applications for production.

A community-driven collection of RAG (Retrieval-Augmented Generation) frameworks, projects, and resources. Contribute and explore the evolving RAG ecosystem.

Awesome-LLM-RAG: a curated list of advanced retrieval augmented generation (RAG) in Large Language Models

😎 Awesome list of Retrieval-Augmented Generation (RAG) applications in Generative AI.