# HNSW (Rust)

> A Rust implementation of the HNSW (Hierarchical Navigable Small World) approximate nearest neighbor search algorithm, useful for building high-performance, memory-safe vector search components in Rust-based AI and retrieval systems.

- **URL:** https://github.com/rust-cv/hnsw
- **Category:** sdks-libraries
- **Tags:** Ann, Rust, Vector Search
- **Updated:** 2025-12-25 16:52
- **Canonical page:** https://vectordb.ever.works/ja/items/hnsw-rust

## Details

# HNSW (Rust)

**Category:** SDKs & Libraries  
**Brand:** rust-cv  
**Website/Source:** https://github.com/rust-cv/hnsw  
**License:** MIT  
**Slug:** `hnsw-rust`

## Description
A Rust implementation of the Hierarchical Navigable Small World (HNSW) approximate nearest neighbor (ANN) search algorithm, designed for fast, memory-safe vector search in Rust-based AI, retrieval, and search systems.

## Features
- **Hierarchical Navigable Small World (HNSW) graph implementation** for efficient approximate nearest neighbor search.
- **Fast ANN search** optimized for high-performance vector similarity queries.
- **Rust-native library** leveraging Rust’s safety and performance guarantees.
- **`serde` integration (optional feature flag)**: enable the `serde` feature to serialize and deserialize HNSW data structures.
- **Examples and benches** included in the repository (`examples`, `benches` folders) to demonstrate usage patterns and performance.
- **Tests and implementation notes** (`tests`, `implementation.md`) documenting and validating the algorithm behavior.
- **No-std compatibility checks** via `ensure_no_std` directory, indicating attention to usage in constrained environments (where applicable).

## Pricing
- Open-source under the **MIT License** (no usage fee).

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