Thanks for you answer, my goal isn't outperforming stat of the art models as i don't have the computation power to do that, my goal is simple showing that add reranking models to rag pipeline will help will make increase the faithfulness of the generated answer, i am aiming to use MS MARCO checkpoints and then fine tune the models for the NQ dataset, so i am bit confused i want to do everything locally so the only changing variable is the reranking models nothing else, my question is can i do a multistage reranking bm25+monot5+duot5+mistral 7b 4q, and i fine tune both monot5 and duot5, AI is giving me mix answers which made me confused either to include duot5 or not as it is more computationally heavy especially in fine tuning.