redis.clients.jedis.search.hybrid

Class FTHybridVectorParams.Knn

java.lang.Object

redis.clients.jedis.search.hybrid.FTHybridVectorParams.Knn

All Implemented Interfaces:

IParams, FTHybridVectorParams.VectorMethod

Enclosing class:

FTHybridVectorParams

public static class FTHybridVectorParams.Knn
extends java.lang.Object
implements FTHybridVectorParams.VectorMethod

KNN (K-Nearest Neighbors) vector search method.

Method Summary

Modifier and Type	Method and Description
void	addParams(CommandArguments args)
FTHybridVectorParams.Knn	efRuntime(int efRuntime) Set the EF_RUNTIME parameter for HNSW algorithm.
static FTHybridVectorParams.Knn	of(int k) Create a KNN method with the specified K value.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Method Detail

of

public static FTHybridVectorParams.Knn of(int k)

Create a KNN method with the specified K value.

Parameters:

k - the number of nearest neighbors to return

Returns:

a new Knn instance

efRuntime

public FTHybridVectorParams.Knn efRuntime(int efRuntime)

Set the EF_RUNTIME parameter for HNSW algorithm.

Parameters:

efRuntime - the EF_RUNTIME value

Returns:

this Knn instance

addParams

public void addParams(CommandArguments args)

Specified by:

addParams in interface IParams