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Milvus Overview

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

Feature Vector →