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https://github.com/harsha-simhadri/big-ann-benchmarks

Framework for evaluating ANNS algorithms on billion scale datasets.
https://github.com/harsha-simhadri/big-ann-benchmarks

approximate-nearest-neighbor-search information-retrival

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Framework for evaluating ANNS algorithms on billion scale datasets.

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README

        

# Big ANN Benchmarks

## Datasets

See for details on the different datasets.

## NeurIPS 2023 competition: Practical Vector Search

Please see [this readme](./neurips23/README.md) for a guide to the NeurIPS 23 competition.

## NeurIPS 2021 competition: Billion-Scale ANN

Please see [this readme](./neurips21/README.md) 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](https://github.com/erikbern/ann-benchmarks) by [Erik Bernhardsson](https://erikbern.com/) and contributors targeting evaluation of algorithms and hardware for newer billion-scale datasets and practical variants of nearest neighbor search.