glossary

RAG (Retrieval-Augmented Generation)

A technique where an AI model retrieves relevant documents from an external knowledge base before generating a response, grounding its output in real, up-to-date information.

fundamentalsragsearch

Published 2026-06-01

RAG stands for Retrieval-Augmented Generation. It's a technique where an AI model first retrieves relevant documents or data from an external knowledge base, then uses that retrieved context to generate its response.

Why it matters for marketers: RAG lets you ground AI outputs in your own content — brand guidelines, campaign history, product docs — rather than relying solely on what the model was trained on.

Common uses:

Brand voice-consistent copy generation
Customer support bots trained on your help docs
Sales enablement tools that reference current product specs