RAGHub and MiniRAG
About RAGHub
Andrew-Jang/RAGHub
A community-driven collection of RAG (Retrieval-Augmented Generation) frameworks, projects, and resources. Contribute and explore the evolving RAG ecosystem.
This is a living directory of tools, frameworks, and resources for Retrieval-Augmented Generation (RAG). It helps you navigate the rapidly changing landscape of RAG by providing a curated list of new and emerging solutions. You'll find frameworks for building RAG applications, evaluation tools, and data preparation frameworks. Developers and AI engineers who are building or evaluating RAG systems would use this to stay informed and choose appropriate tools.
About MiniRAG
HKUDS/MiniRAG
"MiniRAG: Making RAG Simpler with Small and Open-Sourced Language Models"
This tool helps you quickly get accurate answers to complex questions from your own documents, even when using smaller, more efficient AI models. You provide your text data, and it processes it into a structured knowledge base, then uses that to generate precise responses. It's designed for anyone who needs to build an efficient question-answering system without relying on very large, expensive AI models.
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