LLM-Powered-RAG-System
Basic Information
This repository is a curated directory and reference for Retrieval-Augmented Generation (RAG) systems powered by large language models. It organizes and aggregates prominent frameworks, open-source projects, components, evaluation tools, papers, blogs, and other resources related to building RAG-based LLM applications. The README groups entries into sections such as Frameworks, Projects, Components (including chat-with-documents, database integrations, and optimization methods), Evaluation, Papers, Blog, and Other Resources. The collection highlights widely used libraries and systems and points to examples for chat-over-documents, vector databases, embedding tools, and RAG optimization techniques. The aim is to help readers locate mature tools, compare alternatives, and discover research and implementations in the RAG ecosystem.
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