# NMSLIB

> NMSLIB (Non-Metric Space Library) is a pure ANN index library for similarity search in metric and non-metric spaces, implementing HNSW, SW-graph, VPTree. Features Python/C++/Java bindings, custom distance metrics, no built-in quantization/GPU. Ideal for custom vector engines, benchmarks across spaces; versatile building block vs full DBs like Qdrant.

- **URL:** https://github.com/nmslib/nmslib
- **Category:** ANN Indexing Libraries
- **Tags:** Pure ANN, Index Only, Benchmark Tool
- **Updated:** 2026-04-24 10:19
- **Canonical page:** https://vectordb.ever.works/pt/items/nmslib

## Details

## Features

- Indexing methods: HNSW, SW-graph, VPTree, and more
- Custom distance metrics: Euclidean, Cosine, Jaccard, and more
- Efficient index construction and query processing
- Python, C++, and Java bindings

## Installation and Usage

NMSLIB can be installed using pip or built from source, and it offers a Python API with examples and documentation.

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