client-vector-search

This looks really promising and thanks for sharing! I've actually been looking into this exact type of functionality lately, for anyone else I'm just going to drop some other projects in this area (also if anyone, including OP, want's to chime in on how they compare- i know there's all sorts of trade-offs ie. the similarity algo chosen, one of these relies on wasm, etc): https://github.com/tantaraio/voy https://github.com/nitaiaharoni1/vector-storage https://github.com/danielivanovz/indexed-vector-store 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

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/yusufhilm