Notes: RAG Agents in Prod: 10 Lessons We Learned
From AIEngineer: RAG Agents in Prod: 10 Lessons We Learned In the rush toward AI adoption, everyone is chasing cutting-edge models, fine-tuning pipelines, and building impressive prototypes. But the looming question remains: Where’s the ROI? Many companies pour massive resources into AI initiatives only to end up with sleek demos and very little actual business impact. This disconnect runs deeper than tooling—it’s rooted in what we expect AI to be good at. Much like Moravec’s Paradox in robotics (where high-level reasoning is easier for machines than basic perception or motor skills), modern AI excels at things we assume are hard—like coding, summarization, or legal analysis—but struggles with what we think should be easy: understanding context. ...