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What Is RAG and Why Is It Important?
Retrieval-Augmented Generation is a framework that allows AI language models to search and retrieve relevant external information before producing a response. Instead of relying purely on what it learned during training, a RAG-powered model first looks up the most relevant documents or data, then uses that information to craft a more accurate and grounded answer.  ...
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