This repository contains various advanced techniques for Retrieval-Augmented Generation (RAG) systems.
$ git clone https://github.com/athina-ai/rag-cookbooks.gitThis repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.
Repository for the "Building LLMs for Production" book by Towards AI.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
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This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
[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.
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
Data from GitHub · snapshot Nov 13, 2026