Grounding and retrieval augmented generation (RAG) with your own data

A large language model knows only what was in its training data. It has never seen your company's policies, product catalogue or last week's announcements, and it may confidently invent an answer when asked. Grounding solves this by giving the model relevant, trusted information in the prompt and instructing it to base its answer on that information.