Hello, I have a question on score calculation for approximate and exact search.
I've noticed that for queries that contain multiple vectors, the score is defined as the sum of scores for individual vectors.
Example query for approximate search:
{ "query": { "bool" : { "should" : [ { "knn": { "my_vector2": { "vector": [2, 3, 5, 6], "k": 2 } }}, { "knn": { "my_vector2": { "vector": [7, 8, 9, 10], "k": 2 } } } ], "minimum_should_match" : 1, "boost" : 1.0 } } }
For each document in response:
score = score for vector 1 + score for vector 2
The same situation with exact search.
My question is: is there a way to define response score as:
max(score for vector 1, score for vector 2)
?