How It Works
RAG (Retrieval-Augmented Generation)
A technique where a model looks up relevant documents from an external source before answering, so responses can be grounded in specific or current information instead of relying only on what it memorized during training.
Origin
Introduced by Patrick Lewis and colleagues at Facebook AI Research in 2020.