Retrieval-Augmented Generation (RAG)
Retrieval-augmented generation is a technique where an AI model looks up relevant information from your own documents or data before answering, so its responses are grounded in your specific, up-to-date knowledge rather than only what it learned in training.
Why it matters for your business
RAG is how you get an AI that actually knows your business — your policies, your products, your past projects — instead of one that guesses. It's the foundation of accurate internal assistants and customer-facing answers you can trust.
In practice
A support assistant uses RAG to pull the exact answer from your help docs before replying, so customers get your real policy, not a plausible-sounding guess.
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