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If you're interested in query performance on object storage, we're working on a buffer pool–based I/O mode that will leverage io_uring and object storage SDKs to improve cold-read …

Author here. Thanks for putting Zvec through its paces and sharing such detailed results—really appreciate the hands-on testing! Just a bit of context on the storage behavior: Zvec…

Will do—pgvector is on our list for the blog post.

Appreciate the thoughtful breakdown—you're absolutely right that quantization, dimensionality, and threading all play a big role in performance numbers. Thanks for the kind words a…

You're right that we didn't include sqlite-vec in our initial benchmarks—apples-to-apples comparisons are always better. I've actually added basic zvec tests to my fork of sqlite-v…

You're absolutely right—sqlite-vec currently only supports brute-force search, and its latency does scale linearly with dataset size. We did some rough comparisons using its benchm…

Author here. Thanks for sharing—always great to see different approaches in the space. A quick note on QPS: throughput numbers alone can be misleading without context on recall, da…

Author here. Appreciate the context—just wanted to add some perspective on the 8K QPS figure: in the VectorDBBench setting we used (10M, 768d, on comparable hardware to the previou…

Author here. Good point—OpenSearch (which is based on FAISS) is actually included in the VectorDBBench results, so you can see how it compares there. That said, horizontal scaling …

Author here. Thanks everyone for the interest and thoughtful questions! I've noticed many of you are curious about how we achieved the performance numbers and how we compare to oth…

Author here. Thanks for the interest! On the performance side: we've applied optimizations like prefetching, SIMD, and a novel batch distance computation (similar to a GEMV operati…