Zilliz

• Managed Milvus vector database
• Scalable vector similarity search
• Semantic search for AI applications
• Hybrid search combining vector and keyword retrieval
• Full text search capabilities
• Multiple deployment options including Free, Serverless, and Dedicated
• Automatic scaling for changing AI workloads
• Python, Java, Go, and Node.js SDK support
• Support for RAG and multimodal AI applications
• Cloud based infrastructure for production AI workloads

Zilliz Cloud is a fully managed vector database platform designed for developers and organizations building modern AI applications. Built around Milvus, the open source vector database created by Zilliz, the platform provides infrastructure for storing, indexing, and searching vector embeddings at scale. It is particularly useful for applications that need semantic retrieval, recommendation systems, retrieval augmented generation, intelligent search, and AI agent memory.

The platform is designed for software developers, machine learning engineers, data teams, startups, and enterprises that need reliable vector infrastructure without managing database servers themselves. Developers can use Zilliz Cloud to connect application data with embedding models and retrieve the most relevant information based on semantic similarity.

Zilliz Cloud supports several deployment options. The Free cluster is intended for learning, experimentation, and smaller projects. Serverless clusters automatically scale according to workload and use usage based billing, making them suitable for applications with variable traffic. Dedicated clusters provide isolated resources for production workloads where predictable performance and stronger infrastructure control are important.

Developers can connect to clusters through REST APIs and SDKs for languages including Python, Java, Go, and Node.js. After creating collections and loading vector data, applications can perform approximate nearest neighbor searches, filtered searches, hybrid searches, full text searches, and other retrieval operations.

The platform also provides tools for organizations migrating existing vector data from other systems. Security and enterprise capabilities include role based access control, single sign on, backup and restore, private networking, audit logging, and bring your own cloud deployment options.

Zilliz Cloud is especially relevant for AI teams building RAG applications, recommendation engines, semantic search products, multimodal retrieval systems, and intelligent agents. Its combination of managed Milvus infrastructure, flexible deployment models, scalable retrieval, and enterprise controls makes it a comprehensive platform for production AI data infrastructure.

Frequently Asked Questions

What is Zilliz Cloud used for?

Zilliz Cloud is used to store, index, and retrieve vector embeddings for AI applications and intelligent search systems. Common use cases include RAG, semantic search, recommendations, multimodal retrieval, and AI agent applications.

Is Zilliz Cloud free to use?

Yes, Zilliz Cloud provides a Free cluster with 5 GB of storage, up to 2.5 million vCUs per month, and up to five collections. Users can move to Serverless or Dedicated deployments when they need greater capacity or advanced production capabilities.

How does Zilliz Cloud work?

Zilliz Cloud stores vector embeddings in collections and creates indexes that allow applications to retrieve the vectors most similar to a query. Developers connect their applications through supported APIs or SDKs and can combine vector similarity with filters, text search, and other retrieval methods.

Who should use Zilliz Cloud?

Zilliz Cloud is intended for developers, machine learning engineers, data teams, startups, and enterprises building AI applications that require vector search. It is especially useful when teams want managed vector database infrastructure instead of operating Milvus themselves.

What makes Zilliz Cloud different from other vector databases?

Zilliz Cloud provides a managed service built directly on Milvus, giving developers access to the capabilities of a widely used open source vector database through a managed cloud environment. It also offers Free, Serverless, and Dedicated deployment options for different workload requirements.

Can Zilliz Cloud be used for RAG applications?

Yes, Zilliz Cloud can provide the vector storage and retrieval layer for retrieval augmented generation applications. Documents can be converted into embeddings, stored in collections, and searched to retrieve relevant context before information is passed to a generative AI model.

How much does Zilliz Cloud cost?

Zilliz Cloud offers a free cluster, while paid Serverless and Dedicated deployments use usage based pricing models. Serverless billing is primarily based on read and write operations, whereas Dedicated clusters are mainly charged according to allocated compute resources, with storage and other services potentially adding costs.

Is Zilliz Cloud suitable for production AI applications?

Yes, Zilliz Cloud supports production AI applications through Dedicated clusters, scalable Serverless deployments, security controls, backups, migration tools, and enterprise infrastructure options. Teams can select the deployment model based on their performance, scalability, security, and workload requirements.

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