What is RAG (Retrieval-Augmented Generation)?

A technique that feeds an LLM relevant documents at query time so answers are grounded in your data instead of only the model's training.

This is one of 36 terms in the Benchquill AI glossary. Knowing it helps when you compare AI tools and AI models on price and capability.