There are 25 repositories under approximate-nearest-neighbor-search topic.
An open-source vector database for scalable similarity search and AI applications.
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .
Qdrant - vector similarity search engine with extended filtering support
Vald. A Highly Scalable Distributed Vector Search Engine
Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data
A Python nearest neighbor descent for approximate nearest neighbors
Open-source vector similarity search for Postgres
TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets
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.
Graph-based Approximate Nearest Neighbor Search
Fast and lightweight header-only C++ library (with Python bindings) for approximate nearest neighbor search
Fast Approximate Nearest Neighbor (ANN) searches with a PostgreSQL database.
Pure python implementation of product quantization for nearest neighbor search
Fast approximate nearest neighbor searching in Rust, based on HNSW index
Fast and memory-efficient ANN with a subset-search functionality
GGNN: State of the Art Graph-based GPU Nearest Neighbor Search
Framework for evaluating ANNS algorithms on billion scale datasets.
[[ ARCHIVED ]] gann(go-approximate-nearest-neighbor) is a library for Approximate Nearest Neighbor Search written in Go
source code for paper "Asymmetric Deep Supervised Hashing" on AAAI-2018
Building Annoy Index on Apache Spark
A lightweight benchmark for approximate nearest neighbor search
🐍 Python bidding for the Hora Approximate Nearest Neighbor Search Algorithm library
A fast embedded library for approximate nearest neighbor search
Plugin to integrate approximate nearest neighbor(ANN) search with Elasticsearch
LSH index for approximate set containment search
All the code for a series of Medium articles on Approximate Nearest Neighbors
🙃Implementation of vector quantization algorithms, codes for Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search.
alvd = A Lightweight Vald. A lightweight distributed vector search engine works without K8s.
Locality Sensitive Hashing In R
Serving NGT over HTTP or gRPC ※This project is not maintained. We have moved to a new product, [Vald](https://vald.vdaas.org) .
Hi. I am jann. I am text input - text output chatbot model that is JUST approximate nearest neighbour.
Efficient approximate k-nearest neighbors graph construction and search in Julia
A Python package for hubness analysis and high-dimensional data mining
HSNW module for Redis