Building Smarter AI Copilots, Assistants, and Agents with Zilliz Cloud
Zilliz Cloud helps your AI understand your business by giving it long and real-time memory — so your RAG-based copilots, assistants, and agents can answer accurately, consistently, and confidently.
AI Applications Built with RAG powered by Zilliz Cloud
From chatbots to copilots to agents, Zilliz Cloud–powered RAG brings AI applications to life across industries.
Enterprise knowledge bases that stop teams from wasting time searching
Give teams one place to find reliable information instantly across billions of documents without digging through scattered files, chats, or emails.
Customer support bots that answer personalized questions 24/7
Let AI handle millions of routine and personalized shipping, billing, policy, and account questions — all day, every day, without human intervention.
Developer copilots that remove repetitive coding work
Search across millions of files, services, and logs so engineers get accurate, context-aware answers instantly with manual work.
Legal & finance assistants that retrieve clauses instantly
Search through millions of contracts, policies, and compliance documents in real time.
AI meeting copilots that take notes and track decisions
Let AI join calls, take notes, summarize discussions, and track decisions — so you never miss context or waste time rewatching meetings.
Healthcare agents with instant medical insights
Retrieve the latest clinical guidelines, patient history, and research findings in seconds for faster, more informed care.
Conversational agents that keep context across long dialogues
Maintain memory over hours of conversation and multiple data sources—perfect for agents, copilots, or tutoring apps.
Writing assistants that stay consistent with your brand voice
Pull examples from past work, guidelines, and messaging to generate on-brand content every time.
Why Zilliz?
Why AI Teams Choose Zilliz Cloud?
With Zilliz Cloud, your RAG applications can search across millions of documents, videos, and conversations instantly — delivering accurate context in real time at enterprise scale.
10B+Vectors
Painless scaling as data grows
Effortlessly scale to handle 10B+ vectors (equivalent to billions of documents, images, audio files, and conversations) — all without data resharding.
<10msLatency
Instant answers at any load
Enable your AI apps to respond instantly, with no delay — even when thousands of users ask questions at the same time.
-10xCost
10× lower cost than alternatives
World-class vector quantization techniques and tiered storage let you store and search far more data at 10x lower cost than other vectordbs.
Hybrid search out of the box
Combine keyword matching, vector search, and metadata filters seamlessly — giving every query the perfect blend of precision and semantic understanding.
Native multi-tenant architecture
Built-in tenant isolation keeps AI workloads secure and prevents noisy-neighbor slowdowns — so millions of teams or apps can run reliably on the same platform.
Automatic and elastic scaling
Automatically scales compute and storage up or down as your traffic and data size changes — with no capacity planning, index rebuilding, or sharding ever required.
Effortless to use
Go from zero to production-ready vector search in minutes. Zilliz Cloud runs the infrastructure, handles scaling, and manages the Ops — so your team never has to.
Multi-cloud
Run on AWS, Azure, or GCP across 30+ regions worldwide, ensuring Zilliz Cloud’s capabilities are always close to your users and within your infrastructure strategy.
Enterprise-grade reliability and compliance
99.95% SLA with SOC 2, ISO 27001, GDPR, and HIPAA compliance — plus regional failover and BYOC support for enterprise workloads.
Trusted by AI Builders
Learn how industry leaders and startups build AI applications using Zilliz Cloud/Milvus Vector Database
Contact Sales
Build AI Applications with your Favoriate Tools
Resources
Everything you need to know to build RAG in production
Hands-on guides, docs and demos for building reliable, high-performance RAG systems


















