RAGHub is an open-source directory and knowledge hub dedicated to organizing tools, frameworks, and research resources related to Retrieval-Augmented Generation systems. The project was created to help developers navigate the rapidly expanding ecosystem of RAG technologies, where new frameworks and tools are constantly emerging. Instead of implementing a specific algorithm, RAGHub functions as a curated catalog that collects and categorizes RAG-related projects across multiple categories such as frameworks, engines, evaluation tools, and data preparation systems. The repository is community-driven, meaning developers can contribute new tools, frameworks, or educational resources to keep the dRAGHub is an open-source directory and knowledge hub dedicated to organizing tools, frameworks, and research resources related to Retrieval-Augmented Generation systems.

Features

  • Directory of frameworks tools and projects related to RAG technology
  • Community-driven repository with open contributions
  • Categorized listings for RAG engines evaluation tools and frameworks
  • Centralized resource hub for the RAG development ecosystem
  • Educational references and example implementations of RAG pipelines
  • Platform for discovering and comparing new RAG technologies

Project Samples

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Project Activity

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Categories

Large Language Models (LLM)

License

MIT License

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Additional Project Details

Registered

2026-03-06
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