AI ディレクトリ : AI Developer Tools, AI For Data Analytics, AI Knowledge Base, AI Search Engine, Large Language Models (LLMs)
What is Zilliz?
Zilliz provides a fully managed vector database management system, Zilliz Cloud, powered by the open-source Milvus. It is designed for enterprise-grade AI applications, supporting billion-scale vector search, Retrieval Augmented Generation (RAG), and large language models. Zilliz aims to simplify the deployment and scaling of vector search applications by eliminating the need for complex infrastructure management.
How to use Zilliz?
To use Zilliz Cloud, users can sign up for a free account, download one of the official SDKs (Python, Java, Go, Node.js), create their first collection, and perform vector similarity searches. For launching applications, users can upgrade to a pay-as-you-go plan. The platform offers intuitive RESTful APIs and user-friendly SDKs for control and data plane operations.
Zilliz's Core Features
Fully managed Milvus service
Billion-scale vector search
High performance (10x faster retrieval with Cardinal search engine)
Highly Scalable (up to 500 CUs, 100 billion items)
High Availability (99.95% monthly uptime)
Security & Governance (SOC2 Type II, ISO27001, RBAC)
Built-in Embedding Pipelines
Multi-Cloud availability (AWS, Azure, GCP)
AI Integrations
Comprehensive data management (migration, import, backup/restore)
Observability (metrics, alerts, monitoring)
Role-based Access Control
Zilliz's Use Cases
Retrieval Augmented Generation (RAG)
Recommender System
Text/Semantic Search
Image Similarity Search
Audio Similarity Search
Video Similarity Search
AI Agents
Molecular Similarity Search
Multimodal Similarity Search
FAQ from Zilliz
What is a Compute Unit (CU)?
What is a vCU?
Which type of CU should I pick?
How many CUs do I need for a given collection?
How can I get Zilliz Cloud discounts?
How can I request a new cloud region?
Zilliz Support Email & Customer service contact & Refund contact etc.
Here is the Zilliz support email for customer service: [email protected] . More Contact, visit the contact us page(https://zilliz.com/contact-sales)
Zilliz Company
Zilliz Company name: Zilliz .
Zilliz Company address: 201 Redwood Shores Pkwy, Suite 330, Redwood City, California 94065.
More about Zilliz, Please visit the about us page(https://zilliz.com/about).
Zilliz Login
Zilliz Login Link: https://cloud.zilliz.com/login
Zilliz Sign up
Zilliz Sign up Link: https://cloud.zilliz.com/signup?utm_page=index&utm_button=nav_right
Zilliz Pricing
Zilliz Pricing Link: https://zilliz.com/pricing
Zilliz Youtube
Zilliz Youtube Link: https://www.youtube.com/c/MilvusVectorDatabase
Zilliz Linkedin
Zilliz Linkedin Link: https://www.linkedin.com/company/zilliz
Zilliz Twitter
Zilliz Twitter Link: https://twitter.com/zilliz_universe
Zilliz Github
Zilliz Github Link: https://github.com/zilliztech
FAQ from Zilliz
What is Zilliz?
Zilliz provides a fully managed vector database management system, Zilliz Cloud, powered by the open-source Milvus. It is designed for enterprise-grade AI applications, supporting billion-scale vector search, Retrieval Augmented Generation (RAG), and large language models. Zilliz aims to simplify the deployment and scaling of vector search applications by eliminating the need for complex infrastructure management.
How to use Zilliz?
To use Zilliz Cloud, users can sign up for a free account, download one of the official SDKs (Python, Java, Go, Node.js), create their first collection, and perform vector similarity searches. For launching applications, users can upgrade to a pay-as-you-go plan. The platform offers intuitive RESTful APIs and user-friendly SDKs for control and data plane operations.
What is a Compute Unit (CU)?
A compute unit (CU) is a group of hardware resources for serving your indexes and search requests. You can simply consider a CU as a fully-managed physical node for deploying search service.
What is a vCU?
A virtual compute unit (vCU) is used to measure the resources consumed by read operations (such as search and query) and write operations (such as insert, upsert, and delete). The read and write costs vary for different vCU usage.
Which type of CU should I pick?
Select the Performance-optimized CU for instant search results and high concurrent traffic for real-time applications. Choose the Capacity-optimized CU if you need to handle large vector datasets while maintaining reliable search speeds. Opt for the Extended-capacity CU if you need to manage massive-scale datasets where optimizing total cost is prioritized over latency.
How many CUs do I need for a given collection?
Performance-optimized CU supports up to 1.5 million 768-dimensional vectors. Capacity-optimized CU supports up to 5 million 768-dimensional vectors. Extended-capacity CU supports up to 20 million 768-dimensional vectors. These estimates are based on vectors with primary keys only; additional scalar fields may reduce capacity.
How can I get Zilliz Cloud discounts?
When you commit to an annual plan, you can get additional credits based on your usage.
How can I request a new cloud region?
To request a new cloud service provider region for Zilliz Cloud, please fill out the form provided on the website.