A fast HNSW implementation in Rust

In plain words

A Rust-based implementation of the HNSW (Hierarchical Navigable Small World) algorithm for fast similarity search. Built for developers who need efficient vector search capabilities in their applications, it offers high-performance approximate nearest neighbor search optimized for speed. The implementation prioritizes Rust's performance characteristics to deliver faster indexing and query times compared to alternative approaches. Available as open source on GitHub.

written from the facts on this page · September 2026

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