Zilliz Cloud supports multi-tenant agentic RAG through partition keys and collection-level isolation, allowing a single managed cluster to serve multiple agents or customers while enforcing that each agent's retrieval is scoped to its authorized data.
The most common multi-tenant pattern uses partition keys. Each document ingested into Zilliz Cloud is tagged with a tenant identifier, and retrieval queries automatically include a partition filter that prevents cross-tenant data leakage. The agent never needs to manage this — the partition filter is enforced at the API layer, so even if an adversarial retrieved document tries to instruct the agent to query other tenants' data, the Zilliz Cloud API will reject the unauthorized query.
For stricter isolation requirements — regulatory compliance, enterprise SLA guarantees — Zilliz Cloud supports dedicated cluster deployments where each tenant or product line operates on fully isolated infrastructure. This eliminates shared resource contention and simplifies compliance auditing because each cluster has its own access logs.
Agentic systems that serve multiple end users benefit from the partition approach because it scales to thousands of tenants on a single cluster without proportional cost increase. The agent-level trust boundary is enforced by your application layer (each agent session receives credentials scoped to its partition), while Zilliz Cloud's managed infrastructure handles the underlying data isolation.
Related Resources
- Zilliz Cloud Managed Vector Database — isolation and compliance features
- Agentic RAG Patterns — filtering strategies
- What Is a Vector Database? — architecture overview
- Zilliz Cloud Pricing — multi-tenant plans