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๐Ÿ†• A machine learning plugin which supports an approximate k-NN search algorithm for OpenSearch

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xuezhou25/k-NN

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Build and Test k-NN codecov Documentation Chat PRs welcome!

OpenSearch k-NN

Welcome!

OpenSearch k-NN enables you to run the nearest neighbor search on billions of documents across thousands of dimensions with the same ease as running any regular OpenSearch query. You can use aggregations and filter clauses to further refine your similarity search operations. k-NN similarity search powers use cases such as product recommendations, fraud detection, image and video search, related document search, and more.

Project Resources

Credits and Acknowledgments

This project uses the Apache 2.0-licensed Non-Metric Space Library. Thank you to Bilegsaikhan Naidan, Leonid Boytsov, Yury Malkov, David Novak and all those who have contributed to that project!

Code of Conduct

This project has adopted the Amazon Open Source Code of Conduct. For more information see the Code of Conduct FAQ, or contact opensource-codeofconduct@amazon.com with any additional questions or comments.

License

This project is licensed under the Apache v2.0 License.

Copyright

Copyright 2020-2021 Amazon.com, Inc. or its affiliates. All Rights Reserved.

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๐Ÿ†• A machine learning plugin which supports an approximate k-NN search algorithm for OpenSearch

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