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A vector index built on TurboQuant, written in Rust with Python bindings

Postgres with GPUs for ML/AI apps.

simple neural network library in C99

Endee.io – A high-performance vector database, designed to handle up to 1B vectors on a single node, delivering significant performance gains through optimized indexing and execution. Also available in cloud https://endee.io/

A @ClickHouse fork that supports high-performance vector search and full-text search.

AlayaLite – A Fast, Flexible Vector Database for Everyone.

GGNN: State of the Art Graph-based GPU Nearest Neighbor Search

A decentralized vector database for building vector search applications

World's fastest and most compact embedded vector database: exact by default, multimodal, local-first, and GPU-accelerated

Scalable Embedded Vector Index for Go and Rust

High-Throughput, Cost-Effective Billion-Scale Vector Search with a Single GPU [SIGMOD'26]

Training-free ordinal & sign quantization for compressed nearest-neighbour retrieval over high-dimensional embeddings. Pure Rust, zero system dependencies.

Rust implementation of RaBitQ + IVF and MSTG (multi-scale tree graph)

Embeddable vector database for Rust and Python. HNSW indexing, metadata filtering, hybrid search, and snapshots. The SQLite of vector search.

PostgreSQL TurboQuant Index for PGVector

The data layer for AI with Vector, Graph and Vector-Math built into one single rust engine

A rust native, standalone and self-managed vector database uses HNSW data structure for fast queries and search.

High-performance database management system