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

#1 Retrieval Augmented Generation (RAG)

#2 Recommender System

#3 Text/Semantic Search

#4 Image Similarity Search

#5 Audio Similarity Search

#6 Video Similarity Search

#7 AI Agents

#8 Molecular Similarity Search

#9 Multimodal Similarity Search

Zilliz

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