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Retrieval-Augmented Generation (RAG) is a cutting-edge approach in AI that combines large language models (LLMs) with real-time information retrieval to produce more accurate and context-aware outputs. Industry leaders have quickly embraced RAG as a way to build more intelligent AI applications. and real SaaS examples using RAG.
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