Retrieval-augmented generation (RAG) — Retrieval-augmented generation is a method in which an AI/SI system fetches current information before writing its answer. It lets the system use facts newer than its training data. RAG systems read websites, listings, and files such as llms.txt at the moment of a question. Clean, readable pages and consistent facts improve what they retrieve.

Added October 21, 2026

Retrieval-augmented generation (RAG) — Retrieval-augmented generation is a method in which an AI system first retrieves relevant documents and then uses them to write its answer. It lets models use current or private information they were not trained on. It reduces hallucination and makes answers easier to verify. Many business chatbots and AI search tools use RAG.

Added October 21, 2026