Building adaptive RAG from scratch with Command-R
From the video description
Adaptive-RAG (@SoyeongJeong97 et al) is a recent paper that combines (1) query analysis and (2) iterative answer construction to seamlessly handle queries of differing complexity. We took at stab at implementing some of these ideas from scratch using LangGraph and @cohere's Command-R, a lightweight (35b parameter), open-weight, fast LLM with strong tool-use and RAG performance.
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Video by LangChain, played through YouTube.
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