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// Copyright Vespa.ai. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
#pragma once
#include "distance_metric.h"
namespace search::attribute {
/**
* Configuration parameters for a hnsw index used together with a 1-dimensional indexed tensor
* for approximate nearest neighbor search.
*/
class HnswIndexParams {
private:
uint32_t _max_links_per_node;
uint32_t _neighbors_to_explore_at_insert;
// This is always the same as in the attribute config, and is duplicated here to simplify usage.
DistanceMetric _distance_metric;
bool _multi_threaded_indexing;
public:
HnswIndexParams(uint32_t max_links_per_node_in,
uint32_t neighbors_to_explore_at_insert_in,
DistanceMetric distance_metric_in,
bool multi_threaded_indexing_in = false) noexcept
: _max_links_per_node(max_links_per_node_in),
_neighbors_to_explore_at_insert(neighbors_to_explore_at_insert_in),
_distance_metric(distance_metric_in),
_multi_threaded_indexing(multi_threaded_indexing_in)
{}
uint32_t max_links_per_node() const { return _max_links_per_node; }
uint32_t neighbors_to_explore_at_insert() const { return _neighbors_to_explore_at_insert; }
DistanceMetric distance_metric() const { return _distance_metric; }
bool multi_threaded_indexing() const { return _multi_threaded_indexing; }
bool operator==(const HnswIndexParams& rhs) const {
return (_max_links_per_node == rhs._max_links_per_node &&
_neighbors_to_explore_at_insert == rhs._neighbors_to_explore_at_insert &&
_distance_metric == rhs._distance_metric &&
_multi_threaded_indexing == rhs._multi_threaded_indexing);
}
};
}
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