# RuVector

> Self-optimizing on-device vector database with HNSW, graph RAG, and WASM deployment for low-latency edge AI ops across browsers/IoT/mobile. Supports real-time self-learning retrieval; lighter and offline vs cloud Qdrant.

- **URL:** https://github.com/ruvnet/ruvector
- **Category:** Embedded & Edge Vector Databases
- **Tags:** Open Source, Hybrid Search, Graph Database, Rust, Wasm, Rust Lang, Performance Critical, Wasm Support, Edge Ai
- **Updated:** 2026-04-24 10:19
- **Canonical page:** https://vectordb.ever.works/items/ruvector

## Details

## Overview
RuVector enables low-latency on-device vector/graph search.

## Features
- HNSW + hyperbolic indexing
- Self-learning GNN
- WASM/edge deployment
- Hybrid RAG

## Use Cases
- IoT real-time AI
- Mobile CV inference
- Browser edge agents

## Comparisons
- Offline edge vs cloud Qdrant
- Graph-enhanced retrieval

## Pricing
Free open-source (MIT).

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