
Enterprise-grade managed vector database built on Milvus for AI applications
Zilliz Cloud is a fully managed vector database service built on the open-source Milvus engine, designed for enterprise-grade AI and machine learning workloads. It offers high-performance vector similarity search with features like AutoIndex, hybrid retrieval, tiered storage, and multi-cloud deployment across AWS, Azure, and GCP.
AI-powered indexing that automatically selects optimal search strategies with zero manual tuning
Combines vector similarity search with keyword/scalar filtering for more accurate, context-aware results
Multi-tier storage architecture delivering up to 87% storage cost reduction for infrequently accessed data
Deploy across AWS, Azure, and Google Cloud with standardized pricing and cross-region backup support
Flexible field insertion, JSON data type support, and RESTful API interface for easy integration
Data isolation and separation for multi-tenant applications with partition key support
Pay-per-operation serverless option that scales automatically with zero infrastructure management
Power retrieval-augmented generation pipelines by storing and querying document embeddings for LLM context retrieval
Build intelligent search systems that understand meaning and context rather than just keyword matching
Create personalized recommendation engines using vector similarity to find related products, content, or users
Enable visual similarity search across large media libraries using image and video embeddings
99.95% uptime SLA, encryption at rest and in transit, RBAC, audit logs, and compliance certifications
Identify unusual patterns in high-dimensional data for fraud detection, security monitoring, and quality control

High-performance cloud compute, GPU, and bare metal across 32 global data centers