How AI describes USearch

USearch is a high-performance similarity search engine designed to replace traditional backends like FAISS and Lucene in the modern data stack, capable of handling billions of vectors per server. It uses the HNSW algorithm with optimized concurrency, fewer memory allocations, and SIMD-accelerated distance computations to outperform FAISS in benchmarks. It provides native bindings across multiple languages (C++, Python, JavaScript, Java, Rust, Go, etc.), allows building an index in one language and querying from another, and ships with SIMD-optimized kernels for fast searches.