We’re all familiar with Retrieval-Augmented Generation (RAG) — the tech that lets chatbots answer questions using our internal knowledge base. But as data volume and complexity grow, classic “naive” RAG starts to fail. It mixes up contexts, provides conflicting answers, and hallucinates, unable to see the connections hidden between documents.
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