Retrieves the closest points based on vector similarity and given filtering conditions, grouped by a given payload field.
Name of the collection to search in
Define read consistency guarantees for the operation
If set, overrides global timeout for this request. Unit is seconds.
Vector data separator for named and unnamed modes Unnamed mode:
{ “vector”: [1.0, 2.0, 3.0] }
or named mode:
{ “vector”: { “vector”: [1.0, 2.0, 3.0], “name”: “image-embeddings” } }
Payload field to group by, must be a string or number field. If the field contains more than 1 value, all values will be used for grouping. One point can be in multiple groups.
Maximum amount of points to return per group
Maximum amount of groups to return
Specify in which shards to look for the points, if not specified - look in all shards
Look only for points which satisfies this conditions
Additional search params
Select which payload to return with the response. Default: None
Whether to return the point vector with the result?
Define a minimal score threshold for the result. If defined, less similar results will not be returned. Score of the returned result might be higher or smaller than the threshold depending on the Distance function used. E.g. for cosine similarity only higher scores will be returned.
Look for points in another collection using the group ids
successful operation
Time spent to process this request