As AI systems move from experimentation to production, a common challenge emerges: how to reliably connect structured data with unstructured information. While Retrieval-Augmented Generation (RAG) has become a widely adopted approach for working with unstructured data, real-world scenarios often introduce complexities that go beyond semantic retrieval. This article shares a practical perspective on how combining RAG with structured approaches-such as Knowledge Graphs can improve consistency and reliability in enterprise AI systems.
The Problem
In an enterprise AI scenario, the goal was to map structured feature data to relevant sections within large technical documents.
At a glance, this appears to be a straightforward sema...
Updated Apr 23, 2026
Version 1.0
ankitasarkar
Microsoft
Microsoft