Negative scores are no longer allowed, but the cosine similarity between two
vectors lies in the range [-1, 1], and dot products can also be negative. This commit
updates the documentation with an example of how to avoid negative scores.
To make script_score query to have the same features
as function_score query, we need to add randomScore
function.
This function produces different
random scores on different index shards.
It is also able to produce random scores
based on the internal Lucene Document Ids.
Ranaming as follows:
feature -> rank_feature
feature_vector -> rank_features
feature query -> rank_feature query
Ranaming is done to distinguish from other vector types.
Closes#36723
