Vector Search API-Tablestore(Tablestore)-阿里云帮助中心

KnnVectorQuery finds the most similar items in a large-scale dataset by performing an approximate nearest neighbor search with a numeric vector.

Data structure

message KnnVectorQuery {
    optional string field_name = 1;
    optional int32 top_k = 2;
    repeated float float32_query_vector = 4;
    optional Query filter = 5;
    optional float weight = 6;
    optional float min_score = 7;
}

Parameter	Type	Required	Description
field_name	string	Yes	The name of the vector field.
top_k	int32	Yes	The number of nearest neighbors to return. For details about the maximum value, see Search Index limits.
float32_query_vector	float	Yes	The query vector for the similarity search.
filter	Query	No	A filter for applying additional, non-vector query conditions.
weight	float	No	The weight of this query condition.
min_score	float	No	The score threshold. Returns only rows with a score greater than this value. The value must be greater than or equal to 0. The default value is 0.