voy

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

I would assume it runs on the edge, since it runs in the browser via WASM. It's also implemented in Rust, which provides some flexibility. It will likely depend on the specific edge runtime though. The runtime would need something resembling a file system. The thing I like about Victor is that it uses OPFS for storage when running in the browser, meaning it doesn't keep everything in memory. I looked at Orama a bit and from my reading I think they keep everything in memory, although I didn't dig too deep and would like to be wrong about that. This is similar to Voy [1], which runs entirely in memory. Unfortunately, for my own usage running in memory feels like a non-starter since the data size is unbounded. [1]: https://github.com/tantaraio/voy

Would this[1] library help you? It's a Rust vector similarity search engine, written to be compiled to Wasm. I discovered it through articles like these[2]. [1] https://github.com/tantaraio/voy [2] https://dawchihliou.github.io/articles/share-rust-types-with-typescript-for-webass…

This is great! See also Voy, A WASM vector similarity search written in Rust: https://github.com/tantaraio/voy