The problem with generic AI answers
Public chat models are trained on the open web. They do not know your SOPs, policies, or contracts — and they often invent confident-sounding answers when they should say they do not know.
How RAG works
Documents are chunked and embedded into a private vector store. At question time, the system retrieves the most relevant passages, then generates an answer grounded in those passages — ideally with citations.
Why enterprises care
RAG lets teams move faster while keeping answers verifiable. That matters for operations, support, HR, healthcare admin, and compliance workflows where guessing is expensive.