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Framework for evaluating ANNS algorithms on billion scale datasets.

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Big ANN Benchmarks

http://big-ann-benchmarks.com/

Datasets

See http://big-ann-benchmarks.com/ for details on the different datasets.

NeurIPS 2023 competition: Practical Vector Search

Please see this readme for a guide to the NeurIPS 23 competition.

NeurIPS 2021 competition: Billion-Scale ANN

Please see this readme for a guide of running billion-scale benchmarks and a summary of the results from the NeurIPS 21 competition.

Credits

This project is a version of ann-benchmarks by Erik Bernhardsson and contributors targeting evaluation of algorithms and hardware for newer billion-scale datasets and practical variants of nearest neighbor search.

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Framework for evaluating ANNS algorithms on billion scale datasets.

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  • Jupyter Notebook 51.2%
  • Python 45.1%
  • Dockerfile 2.3%
  • Shell 1.4%