Retrieval Augmented, Retrieval Augmented Gen, Llm, Large Language Models, Machine Learning.
paper relevant to the topic. For example, given the query about caffeine’s impact on teenagers’ reaction times, the model might generate a passage discussing potential studies, findings, and implications. Embedding and Search: Both the original query and the hypothetical document are transformed