tantaraio/voy

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1076 stars · 40 forks observed · 2026-09-30

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Voy is a tiny vector similarity search engine written in Rust and compiled to WebAssembly, using a k-d tree index for fast nearest-neighbor search. It ships as an npm package (voy-search) designed for browser and CDN edge deployments, with a portable, resumable embeddings index.

Use cases

• run vector similarity search entirely in the browser
• add semantic search to a static site without a backend
• deploy a small vector search index to CDN edge servers
• search embeddings client-side with Web Workers
• build a portable embeddings index that can be shared and reloaded
• do nearest-neighbor search over embeddings in JavaScript via WASM

When to choose

• you need lightweight in-browser or edge vector search without a server
• bundle size matters and you want a tree-shakable ~75KB library
• your dataset is small-to-medium and a k-d tree index suffices
• you want a portable index file you can rebuild or move anywhere

When to avoid

• you need a stable API - Voy is pre-1.0 with possible breaking changes
• you need large-scale vector search with frequent index updates without full rebuilds
• you need built-in text embedding generation - Voy relies on external libraries like transformers.js
• you need server-side ANN at scale (consider dedicated vector databases like FAISS, Qdrant, or pgvector)

Facets

library · maturity experimental

search-engine vector-database wasm machine-learning web-development developer-tools browser wasm rust k-d-tree nearest-neighbor-search similarity-search vector-search embeddings client-side-search edge-deployment rust-wasm search nodejs web-server

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markdown · JSON · MCP: product_card(name="tantaraio/voy")