API operation called to perform a KNN vector query - Tablestore

Uses the k-nearest neighbor (KNN) vector query feature to perform an approximate nearest neighbor search based on vectors. This way, you can find data items that have the highest similarity as the vector that you want to query in a large-scale dataset.

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;
}

Parameter	Type	Required	Description
field_name	string	Yes	The name of the vector field.
top_k	int32	Yes	The top K query results that have the highest similarity as the vector that you want to query. For more information, see Search index limits.
float32_query_vector	float	Yes	The vector for which you want to query the similarity.
filter	Query	No	The filter. You can use a combination of query conditions that are not KNN vector query conditions.
weight	float	No	The weight configurations of the query condition.