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  • 1
    Milvus

    Milvus

    Vector database for scalable similarity search and AI applications

    ...Average latency measured in milliseconds on trillion vector datasets. Rich APIs designed for data science workflows. Consistent user experience across laptop, local cluster, and cloud. Embed real-time search and analytics into virtually any application. Milvus’ built-in replication and failover/failback features ensure data and applications can maintain business continuity in the event of a disruption. Component-level scalability makes it possible to scale up and down on demand.
    Downloads: 9 This Week
    Last Update:
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    Synapse Machine Learning

    Synapse Machine Learning

    Simple and distributed Machine Learning

    ...These tools enable powerful and highly-scalable predictive and analytical models for a variety of data sources. SynapseML also brings new networking capabilities to the Spark Ecosystem. With the HTTP on Spark project, users can embed any web service into their SparkML models. For production-grade deployment, the Spark Serving project enables high throughput, sub-millisecond latency web services, backed by your Spark cluster.
    Downloads: 0 This Week
    Last Update:
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