Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.

Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA

Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data

Collections of vector search related libraries, service and research papers

High performance nearest neighbor data structures (KDTree and BallTree) and algorithms for Julia.

Java library for approximate nearest neighbors search using Hierarchical Navigable Small World graphs

Fast and lightweight header-only C++ library (with Python bindings) for approximate nearest neighbor search

Performance-portable geometric search library

Absolute balanced kdtree for fast kNN search.

Multi-Modal Database replacing MongoDB, Neo4J, and Elastic with 1 faster ACID solution, with NetworkX and Pandas interfaces, and bindings for C 99, C++ 17, Python 3, Java, GoLang 🗄️

Code for ECCV2018 paper: Revisiting the Inverted Indices for Billion-Scale Approximate Nearest Neighbors

An easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN search.

utils to use word embedding models like word2vec vectors in a PostgreSQL database

a super lightweight head-only 3d kdtree library based on nanoflann

Scalable Feature Store

Mutual Information measures using kNN for both continuous and categorical (discrete) variables [Matlab code]

C library for finding nearest (most similar) element in a set

A header-only C++ library for k nearest neighbor search with Eigen3.

An MPI based implementation of K-NN search algorithm, aimed for use on CPU clusters.