Milvus is the world's fastest similarity search engine for massive-scale feature vectors. Built with heterogeneous computing architecture for the best cost efficiency. Searches over billion-scale vectors take only milliseconds with minimum computing resources.
For more detailed introduction of Milvus and its architecture, see Milvus overview.
Keep up-to-date with newest releases and latest updates by reading Milvus release notes.
To learn what's coming up soon in Milvus, read our Roadmap.
It is a Work in Progress, and is subject to reasonable adjustments when necessary. And we greatly welcome any comments/requirements/suggestions regarding Milvus roadmap.:clap:
Milvus is broadly applicable to a variety of areas. Below screenshot showcases our content-based image retrieval demo system built based on Milvus and VGG.
To explore more Milvus solutions and application scenarios, see our bootcamp repository.
See our test reports for more information about performance benchmarking of different indexes in Milvus.
See the Milvus install guide for using Docker containers. To install Milvus from source code, see build from source.
To edit Milvus settings, read Milvus configuration.
Try running a program with Milvus using Python, Java, or C++ example code.
Contributions are welcomed and greatly appreciated. Please read our contribution guidelines for detailed contribution workflow. This project adheres to the code of conduct of Milvus. By participating, you are expected to uphold this code.
We use GitHub issues to track issues and bugs. For general questions and public discussions, please join our community.
❤️To connect with other users and contributors, welcome to join our Slack channel.
See our community repository to learn about our governance and access more community resources.
Below is a list of Milvus contributors. We greatly appreciate your contributions!
 zerowe-seven 💻 |
 erdustiggen 💻 |
 gaolizhou 💻 |
 Sijie Zhang 📖 |
 PizzaL 💻 |
 levylll 💻 |
 aaronjin2010 💻 |