---
title: vROM.js Demo
emoji: 🔍
colorFrom: indigo
colorTo: purple
sdk: static
pinned: false
license: mit
short_description: Browser vector search with WASM HNSW + ONNX
---

# 🔍 vROM.js Demo

An interactive landing page and live demo for [vROM.js](https://www.npmjs.com/package/vrom.js) — a zero-boilerplate RAG SDK for browser AI agents.

## What This Demo Shows

- **Live semantic search** over HuggingFace documentation using vROM.js
- **vROM hot-swapping** between different knowledge bases
- **Performance metrics** (embedding time, HNSW search time)
- **Code examples** showing the 5-line API
- **Architecture diagrams** explaining how it works

## How It Works

Everything runs 100% in your browser:

1. The WASM engine (172 KB) handles HNSW vector search in < 1ms
2. A Web Worker runs ONNX embedding inference via transformers.js
3. Pre-computed vROM indexes are loaded from HF Hub CDN and cached in OPFS
4. No server, no API keys, no backend — just open the page and search

## Links

- **[npm package](https://www.npmjs.com/package/vrom.js)** — `npm install vrom.js`
- **[GitHub](https://github.com/philsupertramp/vecdb-wasm)** — Source code
- **[Full Documentation](https://huggingface.co/spaces/philipp-zettl/vecdb-wasm)** — API reference, guides, architecture