RAG (Retrieval-Augmented Generation)

A technique where an AI model retrieves relevant information from a knowledge base before generating a response. Instead of relying only on training data, RAG lets you ground AI answers in your actual documents, policies, or content. Essential for accurate, non-hallucinating AI applications.