RAG (Retrieval-Augmented Generation)

Using AI

A technique where the AI first looks up relevant documents and then answers based on what it found - grounding replies in real sources.

Language models only know what was in their training data, and they sometimes invent facts. RAG fixes both problems: before answering, the system retrieves relevant passages from a trusted knowledge base and hands them to the model to answer from.This is how AI assistants answer questions about your company documents or current information, and it lets answers come with citations. The Ask AI assistant on this site works on the same principle - it answers from our published content and shows its sources.