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As an open source vector similarity search engine, Milvus is easy-to-use, highly reliable, scalable, robust, and blazing fast. Adopted by over 100 organizations and institutions worldwide, Milvus empowers applications in a variety of fields, including image processing, computer vision, natural language processing, voice recognition, recommender systems, drug discovery, etc.

Milvus has the following architecture:

For more detailed introduction of Milvus and its architecture, seeMilvus overview. Keep up-to-date with newest releases and latest updates by reading Milvusrelease notes.

Milvus is anLF AI Foundation incubation project. Learn more atlfai.foundation.

See theMilvus install guide to install Milvus using Docker. To install Milvus from source code, seebuild from source.

Try an example program with Milvus usingPython,Java,Go, orC++ example code.

• Go
• Python
• Java
• C++
• RESTful API
• Node.js (Provided byarkie)

You can use Milvus to build intelligent systems in a variety of AI application scenarios. Refer toMilvus Scenarios for live demos. You can also refer toMilvus Bootcamp for detailed solutions and application scenarios.

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

To learn what's coming up soon in Milvus, read ourRoadmap.

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:

Contributions are welcomed and greatly appreciated. Please read ourcontribution guidelines for detailed contribution workflow. This project adheres to thecode of conduct of Milvus. By participating, you are expected to uphold this code.

We useGitHub 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 ourSlack channel.

See ourcommunity repository to learn about our governance and access more community resources.

• Milvus.io

• Milvus FAQ

• Milvus Medium

• Milvus CSDN

• Milvus Twitter

• Milvus Facebook

• Milvus design docs

Apache License 2.0