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Understanding Retrieval-Augmented Generation in Real Applications

Introduction Retrieval-Augmented Generation (RAG) is a machine learning paradigm that integrates retrieval techniques with generative models. This approach enhances the performance of large language models by allowing them to leverage existing knowledge bases and external data sources. In this arti…

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  1. 2026-11-04 13:41 · DEV Community — AI
    Understanding Retrieval-Augmented Generation in Real Applications

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