RAG_Techniques
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
Explore over 42 tutorials to build advanced systems that enhance information retrieval using AI techniques.
From the README
git clone https://github.com/NirDiamant/RAG_Techniques.git
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Free · no card · unsubscribe anytimeThis repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
RAG_Techniques has 29.3k stars on GitHub. It has been forked 3.6k times. RAG_Techniques is written mainly in Jupyter Notebook. It has been in active development since 2024. Its main topics are agentic-rag, ai, embeddings, generative-ai.
What is RAG_Techniques?
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
Is RAG_Techniques open source?
RAG_Techniques is an open-source project.
Is RAG_Techniques free?
Yes. RAG_Techniques is free and open source — you can use, modify and self-host it.
What language is RAG_Techniques written in?
RAG_Techniques is written mainly in Jupyter Notebook.
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