Build AI Search That Understands Meaning, Not Just Keywords
Zilliz Cloud powers the next generation of search — semantic, hybrid, and multimodal — so your users find exactly what they need, even when they can't describe it perfectly. Ship intelligent search experiences that scale to billions of vectors with sub-10ms latency.
AI Search Applications Powered by Zilliz Cloud
Build intelligent search experiences that understand context, intent, and meaning across every data type using Zilliz Cloud.
Semantic Text Search
Build search systems that understand the meaning behind user queries — not just keyword matches. Return relevant results even when users phrase questions differently, misspell terms, or search in natural language.
Visual Product Search
Enable shoppers to find products by uploading a photo instead of typing a query. Match visual features across millions of SKUs in real time — turning every image into a search bar.
Multimodal Content Search
Search across images, text, audio, and video in a single query. Build unified search experiences that connect different content types by meaning — so users find what they need regardless of format.
Intelligent Support Search
Build support search that surfaces the right answer from knowledge bases, past tickets, and documentation — instantly. Reduce ticket volume by giving customers self-serve results that actually match their intent.
Legal Document Discovery
Search across millions of contracts, filings, and case documents by semantic meaning — not just exact phrases. Surface relevant precedents and clauses in seconds, reducing hours of manual review to a single query.
Biomedical Literature Search
Enable researchers to search across papers, clinical records, and genomic data by concept — not just citation keywords. Surface semantically related findings across disciplines to accelerate discovery.
Code and Documentation Search
Build developer tools that search across codebases, APIs, and technical docs by intent. Return relevant code snippets and documentation even when developers describe what they need in plain language.
Ad and Content Targeting
Match ads and content to user intent using semantic understanding — not just keyword bidding. Improve click-through rates by surfacing the most contextually relevant results for every impression.
Why Zilliz?
Why AI Search Teams Choose Zilliz Cloud
Great search is invisible — users just find what they need. Zilliz Cloud gives search teams the vector infrastructure to deliver semantically accurate results in under 10ms, across billions of items, without building and managing a custom search backend from scratch.
100K+QPS
Sustain search traffic spikes without degrading result quality
Search workloads are bursty — product launches, breaking news, and seasonal peaks can multiply query volume overnight. Zilliz Cloud sustains 100K+ queries per second with stable p99 latency, so your search stays fast when it matters most.
10B+Vectors
Index your entire catalog, corpus, or knowledge base in one place
AI search only works when it can see everything. Zilliz Cloud handles 10B+ vectors without manual sharding — so you can index every product, document, image, and conversation in a single searchable store.
-10xCost
Run production search at a fraction of the infrastructure cost
Scaling semantic search with dense vectors gets expensive fast. Zilliz Cloud's quantization, tiered storage, and resource isolation cut vector search costs by 10x compared to self-managed alternatives — keeping your search budget predictable as data grows.
< 10msLatency
Return search results before your users notice a delay
Users abandon search that feels slow. Zilliz Cloud returns semantically ranked results in under 10ms — fast enough to power autocomplete, instant search, and real-time recommendation feeds without adding perceptible latency.
Hybrid search out of the box
Combine dense vector search, sparse vectors, and full-text keyword matching in a single query — delivering results that are both semantically relevant and precisely filtered without building custom reranking pipelines.
Automatic and elastic scaling
Automatically scales compute and storage as your search index and query volume grow — with no capacity planning, index rebuilding, or sharding required. Scale down just as easily during off-peak hours.
Native multi-tenant architecture
Built-in tenant isolation keeps search indexes and queries secure across teams, customers, or applications — preventing noisy-neighbor slowdowns while running thousands of independent search experiences on one platform.
Ease of use
Go from zero to production-ready AI search in minutes. Zilliz Cloud manages the infrastructure, handles scaling, and runs the Ops — so your team focuses on search quality, not cluster management.
Multi-cloud flexibility
Deploy on AWS, Azure, or GCP across 30+ regions worldwide — keeping your search infrastructure close to your users and within your cloud 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 search workloads that demand enterprise-grade security.
Trusted by AI Builders
Learn how industry leaders and startups build AI applications using Zilliz Cloud/Milvus Vector Database
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