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In AI strategy, Large Language Models (LLMs) are fluent but often unreliable, they hallucinate, use outdated data, and lack access to private enterprise files. Retrieval-Augmented Generation (RAG) solves this by first retrieving trusted, relevant facts from internal data before generating responses, grounding AI in real-world information to improve accuracy, relevance, and trust.