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168 lines
6.7 KiB
Markdown
168 lines
6.7 KiB
Markdown
<center>
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<img src="https://zillizstorage.blob.core.windows.net/zilliz-assets/zilliz-assets/assets/readme_b829d6d8ed.png" alt="milvus banner">
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</center>
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<center>
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<a href="https://join.slack.com/t/milvusio/shared_invite/zt-e0u4qu3k-bI2GDNys3ZqX1YCJ9OM~GQ">
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<img src="https://img.shields.io/badge/Join-Slack-orange" />
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</a>
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<img src="https://img.shields.io/github/license/milvus-io/milvus" />
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<img src="https://img.shields.io/docker/pulls/milvusdb/milvus" />
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</center>
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<center>
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<a href="https://internal.zilliz.com:18080/jenkins/job/milvus-ha-ci/job/master/badge/">
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<img src="https://internal.zilliz.com:18080/jenkins/job/milvus-ha-ci/job/master/badge/icon" />
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</a>
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<a href="https://bestpractices.coreinfrastructure.org/projects/3563">
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<img src="https://bestpractices.coreinfrastructure.org/projects/3563/badge" />
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</a>
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<a href="https://codecov.io/gh/milvus-io/milvus">
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<img src="https://codecov.io/gh/milvus-io/milvus/branch/master/graph/badge.svg" />
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</a>
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<a href="https://app.codacy.com/gh/milvus-io/milvus?utm_source=github.com&utm_medium=referral&utm_content=milvus-io/milvus&utm_campaign=Badge_Grade_Dashboard">
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<img src="https://api.codacy.com/project/badge/Grade/c4bb2ccfb51b47f99e43bfd1705edd95" />
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</a>
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</center>
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<details>
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<summary>Click to take a quick look at our demos!</summary>
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<table>
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<tr>
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<td width="30%">
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<a href="https://zilliz.com/solutions">
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<img src="https://zillizstorage.blob.core.windows.net/zilliz-assets/zilliz-assets/assets/image_search_59a64e4f22.gif" />
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</a>
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</td>
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<td width="30%">
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<a href="https://zilliz.com/solutions">
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<img src="https://zillizstorage.blob.core.windows.net/zilliz-assets/zilliz-assets/assets/qa_df5ee7bd83.gif" />
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</a>
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</td>
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<td width="30%">
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<a href="https://zilliz.com/solutions">
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<img src="https://zillizstorage.blob.core.windows.net/zilliz-assets/zilliz-assets/assets/mole_search_76f8340572.gif" />
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</a>
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</td>
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</tr>
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<tr>
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<th>
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<a href="https://zilliz.com/solutions">Image search</a>
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</th>
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<th>
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<a href="https://zilliz.com/solutions">Chatbots</a>
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</th>
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<th>
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<a href="https://zilliz.com/solutions">Chemical structure search</a>
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</th>
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</tr>
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</table>
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</details>
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Milvus is an open-source vector database built to power AI applications and embedding similarity search. Milvus makes unstructured data search more accessible, and provides a consistent user experience regardless of the deployment environment.
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Milvus was released under the open-source Apache License 2.0 in October 2019. It is currently an incubation-stage project under [LF AI & Data Foundation](https://lfaidata.foundation/).
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- **Blazing Fast**
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Average latency measured in milliseconds on ten million vector datasets.
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Supports CPU SIMD, GPU, and FPGA accelerations, fully utilizing available hardware resources to achieve cost efficiency.
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- **Easy to Use**
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Rich APIs designed for data science workflows.
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Consistent cross-platform UX from laptop, to local cluster, to cloud.
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Embed real-time search and analytics into virtually any application.
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- **Stable and Resilient**
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Milvus’ built-in replication and failover/failback features ensure data and applications can maintain business continuity in the event of a disruption.
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- **High Elasticity**
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Component-level scalability makes it possible to only scale where necessary.
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- **Community Backed**
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With over 1,000 enterprise users, 5,000+ stars on GitHub, and an active open-source community, you’re not alone when you use Milvus.
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> **IMPORTANT** The master branch is for the development of Milvus v2.0. On March 9th, 2021, we released Milvus v1.0, the first stable version of Milvus with long-term support. To use Milvus v1.0, switch to [branch 1.0](https://github.com/milvus-io/milvus/tree/1.0).
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## Getting Started
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### Demos
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- [Image Search](https://zilliz.com/milvus-demos): Images made searchable. Instantaneously return the most similar images from a massive database.
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- [Chatbots](https://zilliz.com/milvus-demos): Interactive digital customer service that saves users time and businesses money.
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- [Chemical Structure Search](https://zilliz.com/milvus-demos): Blazing fast similarity search, substructure search, or superstructure search for a specified molecule.
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## Contributing
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Contributions to Milvus are welcome from everyone. See [Guidelines for Contributing](https://github.com/milvus-io/milvus/blob/master/CONTRIBUTING.md) for details on submitting patches and the contribution workflow. See our [community repository](https://github.com/milvus-io/community) to learn about our governance and access more community resources.
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## Documentation
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### Milvus Docs
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For documentation about Milvus, see [Milvus Docs](https://milvus.io/docs/overview.md).
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### SDK
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The implemented SDK and its API documentatation are listed below:
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- [Python](https://github.com/milvus-io/pymilvus/tree/1.x)
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### Recommended Articles
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- [What is an embedding vector? Why and how does it contribute to the development of Machine Learning?](https://milvus.io/docs/v1.0.0/vector.md)
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- [Which vector indexes does Milvus support? Which should I choose?](https://milvus.io/docs/v1.0.0/index.md)
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- [How does Milvus compare the distance between vectors?](https://milvus.io/docs/v1.0.0/metric.md)
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- You can learn more in [Milvus Server Configurations](https://milvus.io/docs/v1.0.0/milvus_config.md).
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## Contact
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Join the Milvus community on [Slack Channel](https://join.slack.com/t/milvusio/shared_invite/zt-e0u4qu3k-bI2GDNys3ZqX1YCJ9OM~GQ) to share your suggestions, advice, and questions with our engineering team. You can also submit questions to our [FAQ page](https://milvus.io/docs/v1.0.0/performance_faq.md).
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Subscribe to our mailing lists:
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- [Milvus Technical Steering Committee](https://lists.lfai.foundation/g/milvus-tsc)
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- [Milvus Technical Discussions](https://lists.lfai.foundation/g/milvus-technical-discuss)
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- [Milvus Announcement](https://lists.lfai.foundation/g/milvus-announce)
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Follow us on social media:
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- [Milvus Medium](https://medium.com/@milvusio)
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- [Milvus CSDN](https://zilliz.blog.csdn.net/)
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- [Milvus Twitter](https://twitter.com/milvusio)
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- [Milvus Facebook](https://www.facebook.com/io.milvus.5)
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## License
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Milvus is licensed under the Apache License, Version 2.0. View a copy of the [License file](https://github.com/milvus-io/milvus/blob/master/LICENSE).
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## Acknowledgments
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Milvus adopts dependencies from the following:
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- Thank [FAISS](https://github.com/facebookresearch/faiss) for the excellent search library.
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- Thank [etcd](https://github.com/coreos/etcd) for providing some great open-source tools.
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- Thank [Pulsar](https://github.com/apache/pulsar) for its great distributed information pub/sub platform.
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- Thank [RocksDB](https://github.com/facebook/rocksdb) for the powerful storage engines.
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