if we have several hits with the same text match score, I would expect them to be sorted by vector similarity But with the rank fusion algorithm, the hits are ranked strictly, even if they have the same text match score. so you get some document A with a much higher rank fusion score than document B, even tough document B has the same text match and a better vector distance