Making Ahnlich Faster with SIMD: A 4.7x Speedup Story
Diretnan DomnanDavid Onuh
Vector databases power modern search, from finding similar images to semantic document retrieval. But there's a hidden performance bottleneck: calculating distances between millions of high-dimensional vectors requires billions of operations per query. In this post, I'll show you how we used SIMD...