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Graph-structured Indices for Scalable, Fast, Fresh and Filtered Approximate Nearest Neighbor Search
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microsoft/DiskANN
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Important
We are currently in the process of updating this repository with a new version of the code written in Rust.
DiskANN is a suite of scalable, accurate and cost-effective approximate nearest neighbor search algorithms for large-scale vector search that support real-time changes and simple filters.This code is based on ideas from Microsoft'sDiskANN.The main branch now contains a rearchitected project written in Rust.
This project has adopted theMicrosoft Open Source Code of Conduct.For more information see theCode of Conduct FAQ orcontactopencode@microsoft.com with any additional questions or comments.
Seeguidelines for contributing to this project.
Older C++ code is retained on thecpp_main branch, but is not actively developed or maintained.The legacy C++ code was forked off fromcode for NSG algorithm.
If you use the C++ version in your software please cite the following:
@misc{diskann-github, author = {Simhadri, Harsha Vardhan and Krishnaswamy, Ravishankar and Srinivasa, Gopal and Subramanya, Suhas Jayaram and Antonijevic, Andrija and Pryce, Dax and Kaczynski, David and Williams, Shane and Gollapudi, Siddarth and Sivashankar, Varun and Karia, Neel and Singh, Aditi and Jaiswal, Shikhar and Mahapatro, Neelam and Adams, Philip and Tower, Bryan and Patel, Yash}}, title = {{DiskANN: Graph-structured Indices for Scalable, Fast, Fresh and Filtered Approximate Nearest Neighbor Search}}, url = {https://github.com/Microsoft/DiskANN}, version = {0.6.1}, year = {2023}}Note
Trademarks: This project may contain trademarks or logos for projects, products, or services.Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft’s Trademark & Brand Guidelines.Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship.Any use of third-party trademarks or logos are subject to those third-party’s policies.
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