a problem about hybrid search about elastiknn HOT 3 CLOSED

When I change the model 'lsh' to 'exact' during hybrid search , it works correctly. But as you know, performance will be affected.

from elastiknn.

Hi @mengrennwpu, there are some known caveats with the function-score query: https://alexklibisz.github.io/elastiknn/api/#using-a-function-score-query

When using "model": "lsh", the "candidates" parameter is ignored and vectors are not re-scored with the exact similarity like they are with a elastiknn_nearest_neighbors query. Instead, the score is: max similarity score * proportion of matching hashes. This is a necessary consequence of the fact that score functions take a doc ID and must immediately return a score.

Perhaps that is happening here?

Also, I'm confused why your example is using size: 10 but only returning 2 results. Are you omitting some results? Or is this the actual complete response?

from elastiknn.

@alexklibisz Thank you very much for your response.

The response you referred to regarding the function-score query is correct. And yes, I omitted some results, i'm sorry for causing any misunderstanding.

from elastiknn.