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

Collections of vector search related libraries, service and research papers

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

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

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 🗄️

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

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

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

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

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

Absolute balanced kdtree for fast kNN search.

Performance-portable geometric search library

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

Scalable Feature Store

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

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

Evaluate custom and HuggingFace text-to-image/zero-shot-image-classification models like CLIP, SigLIP, DFN5B, and EVA-CLIP. Metrics include Zero-shot accuracy, Linear Probe, Image retrieval, and KNN accuracy.

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

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