milvus

A cloud-native vector database, storage for next generation AI applications

anns cloud-native distributed embedding-database embedding-similarity embedding-store faiss golang hnsw image-search llm nearest-neighbor-search tensor-database vector-database vector-search vector-similarity vector-store

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README.md

中文版 | 日本語版

What is Milvus

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.

Milvus provides stable Python, Java and C++ SDKs.

Keep up-to-date with newest releases and latest updates by reading Milvus release notes.

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.