Can someone explain how scores are calculated for hybrid search when I use different values for

limit

for the query and

k

for the vector search - does

limit

influence

k

in any way like set to

min(k, limit)

for any optimization? Or is

limit

is used for getting keyword search results and

k

is used for

vector

search results, followed by combining them and then finally taking the top

limit

results? I would assume that if I increase

k

say from 5 to 10 the results in the second option with

k

=10 should contain all the results in the first option with

k

=5. But I see otherwise. This happens in some cases in my very large dataset and not always and I have failed to create a minimal reproducible example.