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.
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…
Does a similar job
all alternatives →
A fast HNSW implementation in Rust2024 · github.com · ▲111HNSW implementation in Rust. Reference: https://arxiv.org/ftp/arxiv/papers/1603/1603.09320.pdf - swapneel/hnsw-rust
SeekStorm – open-source sub-millisecond search in Rust2024 · github.com · ▲245SeekStorm: vector & lexical search - in-process library & multi-tenancy server, in Rust. - SeekStorm/SeekStorm
Vector – A High-Performance Log and Metric Router Written in Rust2019 · github.com · ▲322A high-performance observability data pipeline. Contribute to vectordotdev/vector development by creating an account on GitHub.
HelixDB – Open-source vector-graph database for AI applications (Rust)2025 · github.com · ▲237Hey HN, we want to share HelixDB (https://github.com/HelixDB/helix-db/), a project a college friend and I are working on. It’s a new database that natively intertwines graph and vector types, without sacrificing performance. It’s written in Rust and our initial focus is on supporting RAG. Here’s a video runthrough: https://screen.studio/share/szgQu3yq. Why a hybrid? Vector databases are useful for similarity queries, while graph databases are useful for relationship queries. Each stores data in a way that’s best for its main type of query (e.g.…
Victor, a browser-optimized vector database written in Rust2023 · github.com · ▲27Hey HN, My friend Sam and I were bored one weekend, and wanted to make something self-contained but still useful. We ended up with Victor [0], a vector database designed to run in the browser. It’s written in Rust, which gives us access to things like super-fast and compact serialization and deserialization, but it’s compiled to WASM and uses web-sys to interact with the browser’s JS APIs to write the database contents to disk. We worked hard on designing it in a way that makes sense for the browser. It uses the private origin file system [1] and stores the vectors in a compact format (one…
TurboQuant for vector search – 2-4 bit compressionMar 2026 · github.com · ▲89A vector index built on TurboQuant, written in Rust with Python bindings - RyanCodrai/turbovec
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