Retrieval Augmented, Retrieval Augmented Gen, Llm, Large Language Models, Machine Learning.
synthesizes information from the selected documents to formulate a coherent answer. Example: Question: What’s the impact of caffeine on reaction times in teenagers? RAG’s Approach: It might pull documents on general caffeine effects and athletic performance, somewhat relevant but not precise.