approximate-nearest-neighbor-search

Open-source vector similarity search for Postgres

Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database​.

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

Developer-friendly, embedded retrieval engine for multimodal AI. Search More; Manage Less.

Postgres with GPUs for ML/AI apps.

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 hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.

Fast Open-Source Search & Clustering engine × for Vectors & Arbitrary Objects × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍

🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .

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

PostgreSQL vector database extension for building AI applications

Some useful tips for faiss

TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets

PECOS - Prediction for Enormous and Correlated Spaces

Framework for evaluating ANNS algorithms on billion scale datasets.

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

Pure python implementation of product quantization for nearest neighbor search

Fast approximate nearest neighbor searching in Rust, based on HNSW index