If you have 10M or bigger dataset of real-world OpenAI- dimensional vectors, please share, I'll use it in the next benchmarks. Random datasets are too misleading for vector search benchmarks because all ANN engines make use of internal distributions in datasets to struggle with the curse of dimensionality. So I never use random datasets for ann indexed benchmarking. Using simplified less dimensional (eg 128 instead of 1536) vectors also changes performance trends.