agentsop-multi-tenant-rag

Prevent cross-tenant data leakage in a multi-tenant RAG pipeline by enforcing tenant isolation directly at the vector store query boundary using deterministic filters, rather than relying on post-retrieval filtering. This ensures secure retrieval.

The best way to enforce tenant isolation in a shared vector database is to pass an immutable tenant key from the authenticated session directly into vendor query arguments, applying query-time filters before content reaches the LLM.

Filtering tenant data after retrieval fails to secure RAG pipelines because sensitive records are already fetched into memory, risking exposure before post-retrieval or rerank operations apply tenant isolation filters.

Implement cross-tenant property tests for vector store queries by writing runtime assertions that verify query-time filters fail closed on violations, ensuring no tenant can access another tenant's data across different frameworks.

Yes, this multi-tenant RAG isolation approach works across frameworks and vendors by adapting per-vendor filter syntax, allowing you to wire deterministic tenant filters into any shared-index retrieval flow.

You need to apply query-time filters during RAG ingestion by designing metadata with an immutable tenant key from the authenticated session, ensuring the shared vector store can securely scope queries per tenant.