Retrieval Augmented, Retrieval Augmented Gen, Llm, Large Language Models, Machine Learning.
when dealing with queries that lack close matches within the database. For instance, consider a query about the impact of caffeine on reaction times in teenagers. A traditional RAG system might retrieve documents discussing caffeine’s effects on adults or general athletic performance, but fail to