athina-ai/rag-cookbooks
This repository contains various advanced techniques for Retrieval-Augmented Generation (RAG) systems.
This project helps AI developers build more accurate and reliable question-answering systems or chatbots. It provides ready-to-use examples and code for advanced techniques that allow you to feed your specific documents (like company policies or research papers) into a large language model. The output is a system that can answer user queries based on your private, up-to-date information, rather than general internet knowledge.
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Use this if you are an AI engineer or researcher looking to implement and evaluate sophisticated Retrieval-Augmented Generation (RAG) techniques to improve the performance of your LLM applications.
Not ideal if you are looking for a plug-and-play solution without any programming knowledge or if you don't need to customize the underlying RAG mechanisms.
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Last pushed
Feb 17, 2025
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