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Zilliz Cloud is a fully managed vector database platform built on the open-source Milvus engine, designed to handle massive embedding vectors generated by AI and machine learning models. Developed by Zilliz, it addresses the challenges of managing and searching unstructured data such as images, text, and video at scale. The platform offers advanced AI-powered search capabilities including AutoIndex, Cardinal Search Engine, and Smart Query Optimizer, which automate tuning and optimize performance. It supports hybrid search across multiple vector fields and various similarity metrics, enabling accurate and low-latency retrieval. Zilliz Cloud is tailored for enterprises needing scalable, secure, and cost-efficient vector search solutions, with flexible deployment options across AWS, Azure, and Google Cloud. Its core users include AI developers, data scientists, and businesses building recommendation systems, retrieval-augmented generation (RAG) applications, and anomaly detection workflows.
4.7/5
High precision, fast, and reliable
Intuitive cloud-native dashboard with streamlined APIs
To provide a scalable, fully managed vector database for efficient AI-powered search and retrieval of unstructured data.
Available as a cloud service on AWS, Azure, and Google Cloud with flexible deployment and integration options.
Freemium with scalable paid tiers based on usage and features
Features with the highest value for users are highlighted here.
AI-powered AutoIndex
Cardinal Search Engine
Distributed cloud-native architecture
Multi-cloud deployment
Automated query optimization
Tiered storage management
Hybrid search capabilities
Enterprise-grade security
AI Developers
Data Scientists
Enterprise IT Teams
Startups
Recommendation System Engineers
RAG Application Builders
Anomaly Detection Specialists
Cloud Architects
Machine Learning Engineers
Product Managers
Free
Pro
Weekly intelligence on AI strategy, operations, and market shifts. No noise. No narrative. Direct to your inbox.
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