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LLM-pedia

RAG (Retrieval-Augmented Generation)

RAG (Retrieval-Augmented Generation) is a technique that enhances LLM responses by retrieving relevant information from external knowledge sources before generating answers. This allows AI models to access up-to-date data and reduce hallucinations, making responses more accurate and grounded in real information.