README.md

metadata

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 — 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 — npm install vrom.js
• GitHub — Source code
• Full Documentation — API reference, guides, architecture