RAG (Retrieval Augmented Generation) — RAG combines AI language models with external knowledge retrieval. Instead of relying only on training data, RAG systems search a database or documents first, then use that context to generate more accurate, current answers. Essential for enterprise AI where accuracy matters.
Why It Matters
Understanding RAG is essential for anyone building or evaluating AI systems. As AI tools proliferate, knowing the fundamentals helps you make better decisions about which tools to trust and deploy.
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