NirDiamant/RAG_Techniques
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This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
Resource, examples & tutorials for multimodal AI, RAG and agents using vector search and LLMs
$ git clone https://github.com/lancedb/vectordb-recipes.git▲ +87 ★ this week
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
211 free visual cards about large language models, from tokenization to deployment. Full collection: 376 cards.
Integrated AI environment in the terminal. Build, test and instruct agents.
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
[MLsys2026 Best Paper]: https://arxiv.org/abs/2506.08276. RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.
Data from GitHub · snapshot Nov 13, 2026