4,560 stars | 1,157 forks | Python
What it does
This repository offers a comprehensive course on building production-grade RAG systems, focusing on advanced techniques like hybrid retrieval and agentic decision-making. It is essential for developers looking to master AI engineering skills in the field of information retrieval.
Why it matters: Dive into building a production-grade RAG system with this hands-on course. Master AI engineering skills and build your own research assistant!
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![HKUDS/LightRAG — [EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"](https://nerdstudio-backend-bucket.s3.us-east-2.amazonaws.com/media/blog/images/github/c1921c95cbbd4ee4.webp)


