How to Handle Deleted SaaS Records in RAG Pipelines to Prevent Data Leaks

Building a Retrieval-Augmented Generation (RAG) prototype that answers questions over a static folder of clean PDFs is a weekend project. Building a production RAG system that connects an AI agent to a customer’s live enterprise data—with permission-aware retrieval, incremental updates, and GDPR-compliant deletes—is an architectural problem that has buried more than a few engineering teams. Consider this scenario: Your RAG pipeline ingested a Salesforce contact named Jane Doe last Tuesday.