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AI · December 12, 2025

EdgeVec – Sub-millisecond vector search in the browser (Rust/WASM)

Hi HN, I built EdgeVec, a vector database that runs entirely in the browser. It implements HNSW (Hierarchical Navigable Small World) graphs for approximate nearest neighbor search. Performance: - Sub-millisecond search at 100k vectors (768 dimensions, k=10) - 148 KB gzipped bundle - 3.6x memory reduction with scalar quantization Use cases: browser extensions with semantic search, local-first apps, privacy-preserving RAG. Technical: Written in Rust, compiled to WASM. Uses AVX2 SIMD on native, simd128 on WASM. IndexedDB for browser persistence. npm:…

EdgeVec – Sub-millisecond vector search in the browser (Rust/WASM) launched on December 12, 2025 with 7 votes, #1,248 of 11,628 launches that month and more than 75% of that year's launches.

Visit github.com ↗Alternativestop 11% of December 2025

What it does

High-performance vector search for Browser, Node, and Edge - matte1782/edgevec

In the maker’s words, at launch

Hi HN, I built EdgeVec, a vector database that runs entirely in the browser. It implements HNSW (Hierarchical Navigable Small World) graphs for approximate nearest neighbor search. Performance: - Sub-millisecond search at 100k vectors (768 dimensions, k=10) - 148 KB gzipped bundle - 3.6x memory reduction with scalar…

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