Zilliz is the company behind Milvus, the open-source vector database, and offers Zilliz Cloud as its managed cloud service. Zilliz Cloud enables developers and data teams to store, index, and search high-dimensional vector embeddings generated by AI and machine learning models. It is designed for use cases such as semantic search, recommendation systems, image and video retrieval, anomaly detection, and retrieval-augmented generation (RAG) pipelines. The platform abstracts infrastructure management, providing automated scaling, high availability, and performance optimization. Zilliz Cloud supports multiple index types and distance metrics, and integrates with popular AI frameworks and embedding model providers. It is available on major cloud providers and offers both serverless and dedicated deployment options. The underlying Milvus engine can also be self-hosted for teams that prefer on-premise or private cloud deployments. Zilliz targets AI engineers, ML practitioners, and enterprises building production-grade AI-powered applications.
Target audience and deployment
- Startup
- SMB
- Mid-market
- Enterprise
- Cloud
- Self-hosted
- API
Key features
Use cases
- Build semantic search applications
- Implement retrieval-augmented generation (RAG) pipelines
- Power recommendation systems
- Enable multimodal similarity search
- Detect anomalies in high-dimensional data
- Manage AI knowledge bases
Best for
- AI engineers who need to deploy a scalable, managed vector database without managing infrastructure
- ML practitioners who need to integrate similarity search into production AI pipelines
- Enterprise architects who need high-availability vector search with dedicated resources and SLA guarantees
- Startup developers who need a serverless vector database with a free tier to prototype AI applications
Integrations
Developer
Milvus, Python SDK, Node.js SDK, Java SDK, Go SDK
AI models included
OpenAI, Hugging Face, Cohere, LangChain, LlamaIndex
Databases
Spark, Kafka
Other
AWS, Google Cloud, Microsoft Azure