a model/strategy that combines a database retrieval mechanism with a language generation model to aid in 'grounded' responses (factual, relevant answers), and avoid hallucinations (false answers).
"In order to make sure answers relevant to users, based in the articles our newspaper had actually written, and accurate, we chose a Graph RAG model for our 'fact-checker bot.'"