{"repo":"athina-ai/rag-cookbooks","free":true,"listed":false,"github":"https://github.com/athina-ai/rag-cookbooks","clone":"git clone https://github.com/athina-ai/rag-cookbooks.git","description":"This repository contains various advanced techniques for Retrieval-Augmented Generation (RAG) systems.","language":"Jupyter Notebook","stars":2565,"topics":["ai","chromadb","cookbooks","faiss","langchain","llm","llms","openai","pinecone","python"],"license":"MIT","category":"ai-agents","readme_excerpt":"        If you find this repository helpful, please consider giving it a star⭐️ Advanced + Agentic RAG Cookbooks👨🏻‍💻 Welcome to the comprehensive collection of advanced + agentic Retrieval-Augmented Generation (RAG) techniques. Introduction🚀 RAG is a popular method that improves accuracy and relevance by finding the right information from reliable sources and transforming it into useful answers. This repository covers the most effective advanced + agentic RAG techniques with clear implementations and explanations. The main goal of this repository is to provide a helpful resource for researchers and developers looking to use advanced RAG techniques in their projects. Building these techniques from scratch takes time, and finding proper evaluation methods can be challenging. This repository simplifies the process by offering ready-to-use implementations and guidance on how to evaluate them. [!NOTE] This repository starts with naive RAG as a foundation and progresses to advanced and agentic techniques. It also includes research papers/references for each RAG technique, which you can explore for further reading. Introduction to RAG💡 Large Language Models are trained on a fixed dataset, which limits their ability to handle private or recent information. They can sometimes \"hallucinate\", providing incorrect yet believable answers. Fine-tuning can help but it is expensive and not ideal for retraining again and again on new data. The Retrieval-Augmented Gener","default_branch":null,"files":null,"tree":[],"storefront":"/r/athina-ai","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/athina-ai/rag-cookbooks/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}