AI & models

RAG

Retrieval-augmented generation

Giving an AI a way to look things up in your own documents or database before it answers, instead of relying only on what it happened to memorize during training. The system first retrieves the few most relevant passages, then hands them to the model so its answer is grounded in real, current source material.

Why it matters

It's how an AI answers accurately from your data — your handbook, your tickets, your contracts — with far fewer hallucinations, because it's reading the source rather than guessing from memory.

Part of Search over your own documents (RAG) →