MBA-RAG: a Bandit Approach for Adaptive Retrieval-Augmented Generation through Question Complexity

Xiaqiang Tang, Qiang Gao, Jian Li +3

Retrieval Augmented Generation (RAG) has proven to be highly effective in boosting the generative performance of language model in knowledge-intensive tasks. However, existing RAG…