MIP Technologies Ltd

Secure Multi-Tenant RAG Architecture

Secure multi-tenant RAG architecture keeps each customer’s data, documents, embeddings and retrieval results separated. MIP Technologies designs AI systems with tenant isolation, access control, source boundaries and governed retrieval so businesses can deploy AI assistants without mixing data across users, teams or customers.

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What multi-tenant RAG means

Multi-tenant RAG lets one AI platform serve multiple customers, teams or accounts while keeping retrieval data separated.

Why tenant isolation matters

Isolation helps prevent one customer or team from retrieving another tenant’s documents or context.

Document and embedding separation

Separation can be implemented through scoped stores, metadata filters, tenant indexes or access-aware retrieval.

Access control

Access rules determine which users, teams or customers can retrieve specific sources.

Retrieval boundaries

Retrieval boundaries keep answers grounded in approved sources for the current tenant and use case.

Auditability and logging

Logging can support review of queries, retrieved sources, answer behavior and operational issues.

Data minimisation

Systems should collect and retrieve only the data needed for the workflow.

Deployment models

Deployment can vary from managed cloud services to more isolated architectures depending on risk and compliance needs.

Frequently asked questions

What is tenant isolation?

Tenant isolation keeps each customer, team or account separated so retrieval does not cross data boundaries.

Why does RAG need access control?

Access control makes sure users only retrieve documents and sources they are allowed to use.

Can retrieval be audited?

Yes. Query, source and answer logs can be designed for review and troubleshooting.