Agentic RAG: Let the Agent Search – Towards Data Science

An article from Towards Data Science discusses agentic Retrieval-Augmented Generation (RAG), a approach that empowers AI agents to independently conduct searches within knowledge bases rather than relying on predetermined retrieval methods. The piece explores how delegating search responsibilities to agents can potentially improve the relevance and accuracy of information retrieval in RAG systems.

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