Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
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Updated
Feb 6, 2024 - C++
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search scenario.
The AI-native database built for LLM applications, providing incredibly fast full-text and vector search
Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data
Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
Fast and lightweight header-only C++ library (with Python bindings) for approximate nearest neighbor search
Fast and memory-efficient ANN with a subset-search functionality
SONG: Approximate Nearest Neighbor Search on GPU. SONG is a graph-based approximate nearest neighbor search toolbox.
Rcpp bindings for the approximate nearest neighbors library hnswlib
Node.js bindings for faiss
Performance comparison of the MRPT algorithm to other approximate nearest neighbor search libraries
hnswlib-node provides Node.js bindings for Hnswlib
N₂O - Approximate Nearest Neighbor Search Library (Hard fork of https://github.com/kakao/n2)
Two-stage routing with Optimized Guided search and Greedy algorithm
Simple tests for MRPT algorithm
annoy-rb provides Ruby bindings for the Annoy (Approximate Nearest Neighbors Oh Yeah).
R package implementing the Nearest Neighbor Descent method for approximate nearest neighbors
Nearest neighbor search. Methods: LSH, hypercube, and exhaustive search. C++
Autoencoder dimensionality reduction, EMD-Manhattan metrics comparison and classifier based clustering on MNIST dataset
Add supports for online updating to SPTAG built by Microsoft
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