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NOTE:
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Hence, a higher number means a better client-vector-search alternative or higher similarity.
client-vector-search discussion
client-vector-search reviews and mentions
Posts with mentions or reviews of client-vector-search.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-07-21.
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Show HN: Chrome didn't have a native vector db so I built one:3
https://github.com/yusufhilmi/client-vector-search
Another area I've looked into briefly is also trying to generate vector embeddings fully in-browser. I know there will likely be tradeoffs with dimensionality / overall accuracy/performance but having a semi-decent way to do this in-browser would be awesome.
This project only runs in node (but there's an issue that talks about how it might be modified to run in-browser): https://github.com/Anush008/fastembed-js
Looks like transformers.js supports embeddings in-browser: https://github.com/xenova/transformers.js/releases/tag/2.1.0
- Client Vector Search: Embed, store, search, and cache vectors on the Browser
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Show HN: Client Vector Search – Embeddings and Semantic Search with 5 Lines
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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A note from our sponsor - AppSignal
www.appsignal.com | 3 Aug 2026
Stats
Basic client-vector-search repo stats
3
231
7.8
about 2 years ago
yusufhilmi/client-vector-search is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of client-vector-search is TypeScript.
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Puter.js - The Backend for AI-Generated Apps
One-shot full-stack apps with your existing AI coding tool. Puter.js gives you Auth, Storage, DB, AI & more, with up to 90% fewer AI tokens than other backend platforms.
developer.puter.com