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Zilliz

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A managed vector database for engineering teams building RAG or large-scale AI search apps that need billion-scale similarity search.

What it does

Zilliz Cloud is a fully managed vector database service built on the open-source Milvus project, designed for enterprise AI applications like retrieval-augmented generation. It offers hybrid vector, text, JSON, and geospatial search with tiered storage and compute options intended to scale to over 100 billion entities while controlling cost.

How to use: 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.

Core features

Fully managed, hosted version of the open-source Milvus vector database
Hybrid search across vectors, full text (BM25), JSON, and geospatial data
Tiered dedicated/serverless/BYOC deployment options
Multi-region global clusters with replication and failover
S3-backed storage with on-demand compute to reduce cost
SSO, audit logs, and role-based access control on higher tiers

Best for

→Powering retrieval-augmented generation (RAG) pipelines at scale
→Building semantic or hybrid search for large multimodal datasets
→Running production AI search with strict latency requirements
→Meeting regulated industries' compliance needs via Business Critical tier

Pricing

Free
Standard: from
$126/GB
Enterprise: from
$197/month
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Reviews

Big-picture takes: what it's for and whether it delivers. High-engagement YouTube videos — not sponsored.

Zilliz + AWS: Scaling Vector Databases for AI
The Ravit Show · 204K views
How Zilliz (Managed Milvus) Cloud Gives AI Agents Real Memory at Scale
AI BORDER · 33K views
Zilliz Cloud Review (Milvus Combo) - (2026) My Real Experience Building Vector Search
Daniel | Tech & Data · 27K views