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...
In my last post Qt WebAssembly performance enhancementthere were some impressive performance stat speedups. Unfortunately, as my collegue Morten pointed out, both builds were in debug mode. *sigh*So I rebuilt them in release mode, and added a few selected benchmarks from the Qt tests/benchmark...
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