Struct GoogleCloudAiplatformV1FindNeighborsRequestQuery 

pub struct GoogleCloudAiplatformV1FindNeighborsRequestQuery {
    pub approximate_neighbor_count: Option<i32>,
    pub fraction_leaf_nodes_to_search_override: Option<f64>,
    pub rrf: Option<GoogleCloudAiplatformV1FindNeighborsRequestQueryRRF>,
    pub datapoint: Option<GoogleCloudAiplatformV1IndexDatapoint>,
    pub per_crowding_attribute_neighbor_count: Option<i32>,
    pub neighbor_count: Option<i32>,
}

A query to find a number of the nearest neighbors (most similar vectors) of a vector.

This type is not used in any activity, and only used as part of another schema.

Fields

approximate_neighbor_count: Option<i32>

The number of neighbors to find via approximate search before exact reordering is performed. If not set, the default value from scam config is used; if set, this value must be > 0.

fraction_leaf_nodes_to_search_override: Option<f64>

The fraction of the number of leaves to search, set at query time allows user to tune search performance. This value increase result in both search accuracy and latency increase. The value should be between 0.0 and 1.0. If not set or set to 0.0, query uses the default value specified in NearestNeighborSearchConfig.TreeAHConfig.fraction_leaf_nodes_to_search.

rrf: Option<GoogleCloudAiplatformV1FindNeighborsRequestQueryRRF>

Optional. Represents RRF algorithm that combines search results.

datapoint: Option<GoogleCloudAiplatformV1IndexDatapoint>

Required. The datapoint/vector whose nearest neighbors should be searched for.

per_crowding_attribute_neighbor_count: Option<i32>

Crowding is a constraint on a neighbor list produced by nearest neighbor search requiring that no more than some value k’ of the k neighbors returned have the same value of crowding_attribute. It’s used for improving result diversity. This field is the maximum number of matches with the same crowding tag.

neighbor_count: Option<i32>

The number of nearest neighbors to be retrieved from database for each query. If not set, will use the default from the service configuration (https://cloud.google.com/vertex-ai/docs/matching-engine/configuring-indexes#nearest-neighbor-search-config).

Trait Implementations

impl Clone for GoogleCloudAiplatformV1FindNeighborsRequestQuery

fn clone(&self) -> GoogleCloudAiplatformV1FindNeighborsRequestQuery

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for GoogleCloudAiplatformV1FindNeighborsRequestQuery

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for GoogleCloudAiplatformV1FindNeighborsRequestQuery

fn default() -> GoogleCloudAiplatformV1FindNeighborsRequestQuery

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for GoogleCloudAiplatformV1FindNeighborsRequestQuery

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for GoogleCloudAiplatformV1FindNeighborsRequestQuery

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl Part for GoogleCloudAiplatformV1FindNeighborsRequestQuery