Retrieves the closest points based on vector similarity and given filtering conditions.
Path parameters
collection_namestringRequired
Name of the collection to search in
Query parameters
consistencyinteger or enumOptional
Define read consistency guarantees for the operation
timeoutintegerOptional
If set, overrides global timeout for this request. Unit is seconds.
Request
This endpoint expects an object.
vectorlist of doubles or objectRequired
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" } }
limitintegerRequired
Max number of result to return
shard_keystring or integer or list of strings or integers or anyOptional
Specify in which shards to look for the points, if not specified - look in all shards
filterobject or anyOptional
Look only for points which satisfies this conditions
paramsobject or anyOptional
Additional search params
offsetintegerOptional
Offset of the first result to return. May be used to paginate results. Note: large offset values may cause performance issues.
with_payloadboolean or list of strings or object or anyOptional
Select which payload to return with the response. Default is false.
with_vectorboolean or list of strings or anyOptional
Options for specifying which vectors to include into response. Default is false.
score_thresholddoubleOptional
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.