A large collection of ready-made LLM apps: agents, RAG systems and skills for coding agents. Every template can be run and taken apart piece by piece.
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Awesome lists & learningNirDiamant
RAG_Techniques
More than 40 runnable notebooks with RAG techniques, from basic retrieval to advanced setups. Each one has the idea, the code and references.
Who it is for
For people who already built a simple RAG and want better retrieval and answers.
How to start
- Open the README and pick a technique from the list
- Run that technique's notebook and read through the code
- Compare the result with a baseline RAG on your own data
Steps are taken from the README. Check the current version in the repository before running them.
Stars over the last 30 days
+318Sep 6 — Oct 5
Author's description
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
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