AI TOOL PROFILE
Zilliz: Managed Vector Database for AI Applications
- Software Development
- Database
- Software companies
- Enterprise AI teams
- Developers building RAG applications
Pricing
Zilliz offers a free tier with 5 GB storage and 2.5M vCUs per month. Serverless plans start at $0 or $99/GB/month, and Dedicated Enterprise plans start from $155/month. Performance clusters are $65 per million vectors/month and capacity clusters are $20 per million vectors/month.
At a glance
- Best for
- Software companies, Enterprise AI teams, Developers building RAG applications
- Key use cases
- Retrieval Augmented Generation (RAG), Semantic and Text Search, Recommender Systems, Visual and Audio Similarity Search, AI Agent Knowledge Grounding
- Integrations
- LangChain, Cohere, Databricks, Confluent, Airbyte
- Official website
- Visit Zilliz official website
How AI is used
Zilliz is a cloud-native vector database service providing a managed version of the open-source Milvus project. It is designed for organizations building AI applications that require retrieval of embeddings from large datasets, supporting up to 100 billion vectors.
The service is intended for developers and enterprise teams integrating semantic search or memory into AI agents. It supports multiple data modalities, including text, images, audio, and video, and is available on AWS, Azure, and Google Cloud.
Buyers can choose between different cluster types—performance-optimized, capacity-optimized, and tiered-storage—to balance search speed and cost. The platform includes compliance options such as SOC2, ISO27001, and HIPAA eligibility.
Teams can opt for a fully managed SaaS experience or a 'Bring Your Own Cloud' (BYOC) deployment for more control over their infrastructure.
Key Features
Cardinal Search Engine
A search engine designed for vector retrieval speed improvements over standard Milvus implementations.
Hybrid Multimodal Search
Supports querying across different data modalities, including text, video, audio, and images.
AutoIndex
Automatically optimizes indexing to help balance search recall and performance.
Horizontal Scaling
Supports scaling up to 500 compute units to manage large-scale vector datasets.
Built-in Embedding Pipelines
Supports converting unstructured data into searchable vector embeddings through chunking and transformation.
Enterprise Security
Includes RBAC, SSO (SAML 2.0), and encryption for data in transit and at rest.
Use Cases
Retrieval Augmented Generation (RAG)
Supports expanding LLM knowledge by incorporating external data sources.
Semantic and Text Search
Finding semantically similar text across large volumes of natural language documents.
Recommender Systems
Providing product or information recommendations based on user behavior and preferences.
Visual and Audio Similarity Search
Identifying similar images, audio clips, or video segments from libraries.
AI Agent Knowledge Grounding
Supports AI agents with search and knowledge retrieval for decision-making.
Integrations
- LangChain
- Cohere
- Databricks
- Confluent
- Airbyte
- Prometheus
- Datadog
FAQ
What is Zilliz Cloud?
- Zilliz Cloud is a fully managed vector database service built on the open-source Milvus project, designed to store and search large-scale vector embeddings for AI applications.
Does Zilliz offer a free version?
- Yes, Zilliz provides a free tier that includes 5 GB of storage and 2.5 million vCUs per month for learning and personal projects.
Which cloud providers does Zilliz support?
- Zilliz is available on AWS, Google Cloud (GCP), and Microsoft Azure across eight global regions.
How does Zilliz handle data security?
- Zilliz is SOC 2 Type II and ISO/IEC 27001 compliant and is HIPAA-eligible. It supports RBAC and data encryption in transit and at rest.
Source category: Software Development
Source subcategory: Database
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