Entropy Over Relevance: Why Your RAG System Is Asking the Wrong Questions
Evidence is not context. That is the small, expensive misunderstanding behind many enterprise RAG systems. A user asks a question, the system retrieves semantically similar chunks, the model reads them, and the answer arrives with a tone that suggests the matter has been settled. Very reassuring. Sometimes even correct. But in the situations where RAG is supposed to be most useful — compliance reviews, financial analysis, legal memos, medical evidence summaries, internal strategy briefings — the problem is often not that the system has too little relevant material. The problem is that the relevant material disagrees, overlaps, dates badly, or supports several competing interpretations at once. ...
