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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
