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Fix Markdown format (#1483) 
* Fix #839 and improve the code quality

Signed-off-by: JinHai-CN <hai.jin@zilliz.com>

* Fix compiling error and building threads number

Signed-off-by: JinHai-CN <hai.jin@zilliz.com>

* Fix Markdown quality

Signed-off-by: JinHai-CN <hai.jin@zilliz.com>

* Fix Markdown quality

Signed-off-by: JinHai-CN <hai.jin@zilliz.com>

* Fix Markdown quality

Signed-off-by: JinHai-CN <hai.jin@zilliz.com>
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README.md

Milvuslogo

Slack

GitHub Language GitHub top language GitHub release (latest by date) GitHub Release Date

Maintenance OSS Lifecycle HitCount Docker pulls

Build Status CII Best Practices codecov codebeat badge CodeFactor Grade Codacy Badge Scrutinizer Quality Score

PRs Welcome

中文版 | 日本語版

What is Milvus

Milvus is an open source vector similarity search engine. 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.

Roadmap

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.👏

Application scenarios

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.

image retrieval demo

To explore more Milvus solutions and application scenarios, see our bootcamp repository.

Test reports

See our test reports for more information about performance benchmarking of different indexes in Milvus.

Supported clients

Get started

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 your first Milvus program

Try running a program with Milvus using Python, Java, or C++ example code.

Contribution guidelines

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.

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.

Mailing lists

Contributors

Below is a list of Milvus contributors. We greatly appreciate your contributions!


zerowe-seven
💻
erdustiggen
💻
gaolizhou
💻
Sijie Zhang
📖
PizzaL
💻
levylll
💻
aaronjin2010
💻

Resources

License

Apache License 2.0