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RAGHub

A community-driven collection of RAG (Retrieval-Augmented Generation) frameworks, projects, and resources. Contribute and explore the evolving RAG ecosystem.

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retrieval-augmented-generationopen-sourcenlpnatural-language-processingmachine-learningraglarge-language-modelsartificial-intelligencellmai

RAGHub is a community-driven repository that collects RAG (Retrieval-Augmented Generation) frameworks, projects, and resources. It serves as a curated index of the evolving RAG ecosystem that contributors can extend.

Use it to discover and survey existing RAG frameworks and projects instead of searching for them piecemeal.

Use it to

  • Browse RAG frameworks and projects
  • Find RAG learning resources
  • Contribute your own RAG project
  • Track the evolving RAG ecosystem

For Developers and researchers working with retrieval-augmented generation

Role
rag
Licence
MIT
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184
Last push
2026-07-28
topicsragllmretrieval-augmented-generationnlpopen-sourceresources