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Milvus Overview

What is Milvus

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.

Key features

  • Heterogeneous computing

    Milvus is designed with heterogeneous computing architecture for the best performance and cost efficiency.

  • Multiple indexes

    Milvus supports a variety of indexing types that employs quantization, tree-based, and graph indexing techniques.

  • Intelligent resource management

    Milvus automatically adapts search computation and index building processes based on your datasets and available resources.

  • Horizontal scalability

    Milvus supports online / offline expansion to scale both storage and computation resources with simple commands.

  • High availability

    Milvus is integrated with Kubernetes framework so that all single point of failures could be avoided.

  • High compatibility

    Milvus is compatible with almost all deep learning models and major programming languages such as Python, Java and C++, etc.

  • Ease of use

    Milvus can be easily installed in a few steps and enables you to exclusively focus on feature vectors.

  • Visualized monitor

    You can track system performance on Prometheus-based GUI monitor dashboards.

Overall architecture

Milvus architecture

What's next

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