I built a vector search library in Rust/WASM. Here's what I learned about performance, browser limits, and building in public with AI

1. 1Build a vector search library using Rust and WASM to improve search performance
2. 2Use browser limits to optimize the library's functionality
3. 3Apply AI techniques to enhance the search results and user experience
4. 4Test the library with different datasets to evaluate its performance
5. 5Configure the library to work with various browsers and devices

Developers and engineers working on AI and search-related projects can benefit from this article, as it provides insights into building a vector search library and its applications

💡 Building a vector search library in Rust/WASM can improve search performance and provide a privacy-first solution

🚀 Built a vector search library in Rust/WASM! Learned about performance, browser limits, and building in public with AI 💻