There are 51 repositories under approximate-nearest-neighbor-search topic.
The GPU-powered AI application database. Get your app to market faster using the simplicity of SQL and the latest NLP, ML + LLM models.
🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .
The AI-native database built for LLM applications, providing incredibly fast full-text and vector search
Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data
A Python nearest neighbor descent for approximate nearest neighbors
PostgreSQL vector database extension for building AI applications
Some useful tips for faiss
An easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN search.
Framework for evaluating ANNS algorithms on billion scale datasets.
Fast approximate nearest neighbor searching in Rust, based on HNSW index
Annoy-inspired Approximate Nearest Neighbors in Rust, based on LMDB and optimized for memory usage :boom:
GGNN: State of the Art Graph-based GPU Nearest Neighbor Search
A curated list of awesome works related to high dimensional structure/vector search & database
hnswlib-node provides Node.js bindings for Hnswlib
(distributed) vector database
Node.js bindings for faiss
source code for paper "Asymmetric Deep Supervised Hashing" on AAAI-2018
Timescale Vector Cookbook. A collection of recipes to build applications with LLMs using PostgreSQL and Timescale Vector.