What Is RAG (Retrieval-Augmented Generation) and Why Does It Matter?
Short answer
RAG lets AI pull current facts from your own documents before answering.
In detail
RAG (retrieval-augmented generation) lets an AI system pull real, current information from your own documents, database, or knowledge base before generating an answer, instead of relying only on what it was originally trained on. This matters because it dramatically reduces hallucinated or outdated answers — the AI is grounded in your actual product details, pricing, and policies. Any AI feature meant to answer customer or internal questions accurately needs some form of RAG behind it.
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