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Framework for evaluating ANNS algorithms on billion scale datasets.

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I try to built index database of track-3 follow : `python track3_baseline_faiss/gpu_baseline_faiss.py --dataset bigann-1B \ --indexkey IVF1048576,SQ8 \ --train_on_gpu \ --build --quantizer_on_gpu_add --add_splits 30 \ --search \ --searchparams nprobe={1,4,16,64,256} \...

Couldn't access the slides of talks from track winners. The url like: https://big-ann-benchmarks.com/templates/slides/* e.g. https://big-ann-benchmarks.com/templates/slides/invited-talk-anshu.pptx (just report 404 error)

Dear all, Please add your thoughts on the future of this benchmark! Thank you very much for participating in our NeurIPS'21 competition. The competition will end with an event on...

It feels a bit weird to see a lot of activity on this repo rather than trying to contribute to the original one https://github.com/erikbern/ann-benchmarks Is the ambition to merge it...

I have not got results with this parameter setting yet, and our method might not surpass the baselines.

This is a submission of the NVIDIA team for single GPU in T3 track. After the built index upload is complete, we will update instructions on how to download the...

T2 competition, a joint team from Kuaishou Technology and Tsinghua University, modify the search process, indexing use the baseline index of the benchmark

BIGANN submission for GraphANN using Intel Optane Persistent Memory (high QPS HW)

This is a submission for Track 2. We are a joint team from Zilliz and SUSTech.