Zilliz Cloud is a high-performance, cost-effective vector database powered by the open-source Milvus, designed for enterprise-grade AI applications. It simplifies the deployment and scaling of vector search applications by providing a fully-managed service, eliminating the need for complex infrastructure management.
Key Features:
- Optimized Milvus: Built on the popular open-source Milvus, offering enhanced efficiency and lower Total Cost of Ownership (TCO) with an optimized AUTOINDEX.
- Blazing Fast: Achieves 10x faster vector retrieval speeds than Milvus, powered by the Cardinal search engine.
- Highly Scalable: Capable of scaling clusters to 500 CUs, serving over 100 billion items, ideal for large-scale vector data.
- High Availability & Security: Provides 99.95% monthly uptime and meets SOC2 Type II and ISO27001 standards with Role-Based Access Control (RBAC).
- Seamless Integrations: Works with leading AI models and frameworks like OpenAI, Anthropic, Cohere, Langchain, LlamaIndex, and more.
- Built-in Embedding Pipelines: Facilitates the conversion of unstructured data into searchable vector embeddings, covering data preparation, chunking, model selection, and transformation.
- Multi-Cloud Support: Available on AWS, Azure, and GCP across eight regions worldwide.
Use Cases:
- Retrieval Augmented Generation (RAG): Enhances Large Language Models (LLMs) by integrating external data sources.
- Recommender Systems: Powers personalized recommendations based on user behavior and preferences.
- Text/Semantic Search: Enables searching for semantically similar texts across vast document collections.
- Image, Audio, and Video Similarity Search: Facilitates finding visually or audibly similar content from extensive media libraries.
- AI Agents: Supports high-performance AI agents with real-time search, knowledge grounding, and intelligent decision-making.
- Molecular Similarity Search: Aids in searching for similar molecular structures.
- Multimodal Similarity Search: Allows querying across different data modalities like text, video, audio, and images.
