I like these measurements with ANN-benckmark! They allow to compare performance of different index implementations apples-to-apples i.e. at the same build parameters set rather than using some fixed settings (or, even worse, default settings that are different).
The blogpost is very thorough, lots of measurements of different datasets, including great 1536-dimensional 1M rows dbpedia-openai dataset. Furthermore, a very strong point is that all parameters and method is described and transparent.
Blog author. Thanks for the analysis -- I agree that the ANN Benchmark does provide a nice framework for helping with apples-to-apples comparisons. In this case, being able to use the "--local" flag made it easier to run using the native environment, vs. putting it into a container. I'm looking for to ANN Benchmark having more datasets!
The blogpost is very thorough, lots of measurements of different datasets, including great 1536-dimensional 1M rows dbpedia-openai dataset. Furthermore, a very strong point is that all parameters and method is described and transparent.