A concise explanation of Retrieval-Augmented Generation, a framework that improves language model performance by connecting them with external knowledge bases. The video covers how RAG enables more accurate, current responses by retrieving relevant information in real time, reducing hallucinations and providing verifiable sources. Essential for understanding enterprise AI applications that require grounding in proprietary or current data.

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