RAG Search: Retrieval-Augmented Generation for Accurate, AI-Powered Search

Traditional search—whether keyword-based or vector-based—retrieves relevant documents, but it cannot generate answers or synthesize information. LLMs can generate answers, but without grounding, they often produce hallucinations or confidently incorrect responses. This gap between retrieval and generation has driven the rapid rise of RAG (Retrieval-Augmented Generation) as the new standard for intelligent search systems. Industry data...

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