RAGHub and RAG-ARC
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 RAG-ARC
DataArcTech/RAG-ARC
A modular, high-performance Retrieval-Augmented Generation framework with multi-path retrieval, graph extraction, and fusion ranking
This project helps professionals working with large volumes of documents (like PDFs, PowerPoints, and Excel files) to extract precise answers and generate content. It takes your unstructured documents and questions, then processes them to provide accurate, context-rich responses or summarized information. Knowledge managers, researchers, and content creators who need to quickly retrieve and synthesize information from extensive knowledge bases would find this invaluable.
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