Milvus is an open source similarity search engine for massive feature vectors. Designed with heterogeneous computing architecture for the best cost efficiency. Searches over billion-scale vectors take only milliseconds with minimum computing resources.
Milvus is an open source 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.
Milvus provides stable Python, Java and C++ APIs.
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- Heterogeneous computing
Milvus is designed with heterogeneous computing architecture for the best performance and cost efficiency.
Milvus is built with heterogeneous computing architecture for the best performance and cost efficiency.
- Multiple indexes
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Refer to [this link](https://github.com/milvus-io/milvus-sdk-java/tree/master/examples) for the example code.
## Milvus roadmap
Please read our [roadmap](https://milvus.io/docs/en/roadmap/) to learn about upcoming features.
## Contribution guidelines
Contributions are welcomed and greatly appreciated. Please read our [contribution guidelines](CONTRIBUTING.md) for detailed contribution workflow. This project adheres to the [code of conduct](CODE_OF_CONDUCT.md) of Milvus. By participating, you are expected to uphold this code.
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To connect with other users and contributors, welcome to join our [slack channel](https://join.slack.com/t/milvusio/shared_invite/enQtNzY1OTQ0NDI3NjMzLWNmYmM1NmNjOTQ5MGI5NDhhYmRhMGU5M2NhNzhhMDMzY2MzNDdlYjM5ODQ5MmE3ODFlYzU3YjJkNmVlNDQ2ZTk).
## Milvus Roadmap
## Thanks
Please read our [roadmap](https://milvus.io/docs/en/roadmap/) to learn about upcoming features.
We greatly appreciate the help of the following people.
-[akihoni](https://github.com/akihoni) found a broken link and a small typo in the README file.
## Resources
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