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/*
* Manticore Search Client
*
* Сlient for Manticore Search.
*
* The version of the OpenAPI document: 5.0.0
* Contact: info@manticoresearch.com
* Generated by: https://openapi-generator.tech
*/
use crate::models;
use serde::{Deserialize, Serialize};
/// Knn : Object representing a k-nearest neighbor search query
#[derive(Clone, Default, Debug, PartialEq, Serialize, Deserialize)]
pub struct Knn {
/// Field to perform the k-nearest neighbor search on
#[serde(rename = "field")]
pub field: String,
/// The number of nearest neighbors to return
#[serde(rename = "k")]
pub k: i32,
#[serde(rename = "query", skip_serializing_if = "Option::is_none")]
pub query: Option<Box<models::KnnQuery>>,
/// The vector used as input for the KNN search
#[serde(rename = "query_vector", skip_serializing_if = "Option::is_none")]
pub query_vector: Option<Vec<f64>>,
/// The docuemnt ID used as input for the KNN search
#[serde(rename = "doc_id", skip_serializing_if = "Option::is_none")]
pub doc_id: Option<u64>,
/// Optional parameter controlling the accuracy of the search
#[serde(rename = "ef", skip_serializing_if = "Option::is_none")]
pub ef: Option<i32>,
/// Optional parameter enabling KNN rescoring (disabled by default)
#[serde(rename = "rescore", skip_serializing_if = "Option::is_none")]
pub rescore: Option<bool>,
/// Optional parameter setting a factor by which k is multiplied when executing the KNN search
#[serde(rename = "oversampling", skip_serializing_if = "Option::is_none")]
pub oversampling: Option<f64>,
#[serde(rename = "filter", skip_serializing_if = "Option::is_none")]
pub filter: Option<Box<models::QueryFilter>>,
}
impl Knn {
/// Object representing a k-nearest neighbor search query
pub fn new(field: String, k: i32) -> Knn {
Knn {
field,
k,
query: None,
query_vector: None,
doc_id: None,
ef: None,
rescore: None,
oversampling: None,
filter: None,
}
}
}