Major Description
Currently the reranking algorithm for feature vector similarity search uses an additive scoring mechanism so that the final score is the sum of the original LSH query and the query - document feature vector distance. It turns out that since LSH is supposed to approximate the fv distance it'd be more effective to just use the exact distance as the final score instead of performing the mentioned sum.