A-RAG: Agentic Retrieval-Augmented Generation via Hierarchical Retrieval Interfaces. State-of-the-art RAG framework with keyword, semantic, and chunk read tools for multi-hop QA.
Use advanced tools to answer complex questions by retrieving and combining information from multiple sources.
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Free · no card · unsubscribe anytimeA-RAG: Agentic Retrieval-Augmented Generation via Hierarchical Retrieval Interfaces. State-of-the-art RAG framework with keyword, semantic, and chunk read tools for multi-hop QA.
arag has 332 stars on GitHub. It has been forked 50 times. arag is written mainly in Python. It has been in active development since 2026. Its main topics are agent, agentic-ai, agenticrag, deepresearch.
A-RAG: Agentic Retrieval-Augmented Generation via Hierarchical Retrieval Interfaces. State-of-the-art RAG framework with keyword, semantic, and chunk read tools for multi-hop QA.
arag is an open-source project.
Yes. arag is free and open source — you can use, modify and self-host it.
arag is written mainly in Python.
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