Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

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

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​.

Postgres with GPUs for ML/AI apps.

Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM 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

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

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

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

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.

Pure python implementation of product quantization for nearest neighbor search