The article outlines how to build a retrieval‑augmented generation (RAG) AI agent that operates entirely within a corporate security perimeter, citing user documents without transmitting data to external services. It demonstrates modular architecture that allows integration with existing document repositories and preserves data sovereignty. The approach avoids vendor lock‑in by using open‑source components and configurable pipelines. It