Zilliz Cloud is a fully managed vector database service built on the open-source Milvus project. It streamlines the deployment and scaling of vector search applications by eliminating infrastructure management complexities. As an alternative to platforms like AWS SageMaker and Google Vertex AI, Zilliz Cloud enables developers to build, deploy, and scale AI-powered search and recommendation systems with greater control over their data and model serving.
Key Features:
- Fully-Managed Milvus: Simplifies deploying and scaling vector search applications.
- High Performance: Optimized AUTOINDEX balancing recall and performance.
- Scalability: Supports large-scale vector data with distributed, high-throughput capabilities, scaling to 500 CUs and 100 billion items.
- High Availability: Offers 99.95% monthly uptime SLAs.
- Security & Governance: Meets SOC2 Type II and ISO27001 standards with Role-Based Access Control (RBAC).
- Built-in Embedding Pipelines: Converts unstructured data into searchable vector embeddings.
- Multi-Cloud Support: Available on AWS, Azure, and GCP across eight regions.
- AI Integrations: Integrates with leading AI models and frameworks.
Use Cases:
- Retrieval Augmented Generation (RAG): Enhances LLMs with external data.
- Recommender Systems: Provides personalized recommendations.
- Semantic Search: Enables searching for semantically similar texts.
- Image and Video Similarity Search: Facilitates searching for visually similar content.
- AI Agents: Powers real-time search and intelligent decision-making.
