Dev tools · September 21, 2023
Client Vector Search – Embeddings and Semantic Search with 5 Lines
Hey HN, we're excited to show you client-vector-search, a client-side library that helps you embed, store, search, and cache vectors in your browser or node env. We needed it at https://searchbase.app and that's why we've built it. with it you get: 1. easy setup: you only need to add 5 lines of code to build a semantic search 2. no embedding api needed: you don't need an api and have to pay for it unless ure scaling up millions 3. faster search: modern hardware is better than cheap cloud computers (0.5vCPUs) 4. zero latency: no back-and-forth with server-side 5. easy integration…
In plain words
Client Vector Search is a client-side library that enables semantic search by embedding, storing, and caching vectors directly in browsers or Node.js environments. Designed for developers building search features, it requires only five lines of code to implement and eliminates the need for external embedding APIs. The library performs vector searches locally on user hardware, offering faster processing and zero server latency. It integrates with a backend API for applications that scale to millions of vectors.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Hey HN, we're excited to show you client-vector-search, a client-side library that helps you embed, store, search, and cache vectors in your browser or node env. We needed it at https://searchbase.app and that's why we've built it. with it you get: 1. easy setup: you only need to add 5 lines of code to build a semantic search 2. no embedding api needed: you don't need an api and have to pay for it unless ure scaling up millions 3. faster search: modern hardware is better than cheap cloud computers (0.5vCPUs) 4. zero latency: no back-and-forth with server-side 5. easy integration with our api if you scale fast: 10x cheaper than OpenAI and you don't have to pay for Pinecone et. al. play with it: https://clientvectorsearch.com install the library: https://www.npmjs.com/package/client-vector-search check our repo: https://github.com/yusufhilmi/client-vector-search find us on twitter, hit us up with questions: - https://twitter.com/yusufhilmi_ - https://twitter.com/karmedge
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