The total number of the vectors that you want to receive as a query result.
The response will be sorted based on the distance metric score, and at most
topK many vectors will be returned.
Whether to include the vector values in the response. It is recommended to set
this to false as the vector values can be quite big, and not needed most of
the time.
For sparse vectors of sparse and hybrid indexes, specifies what kind of
weighting strategy should be used while querying the matching non-zero
dimension values of the query vector with the documents.If not provided, no weighting will be used.Only possible value is IDF (inverse document frequency).
Fusion algorithm to use while fusing scores
from dense and sparse components of a hybrid index.If not provided, defaults to RRF (Reciprocal Rank Fusion).Other possible value is DBSF (Distribution-Based Score Fusion).