Retrieval Is Filtering, Not Search: A Mental Model for Enterprise RAG

# Enterprise AI Systems Work Better When You Filter Documents Smartly, Not Just Search Them When companies build AI systems to answer questions using their own documents, they often treat it like a basic search engine—typing in keywords and hoping something relevant pops up. A better approach is to think of it as filtering: start by identifying the exact spot in a document you need (a table of contents entry or specific heading), then grab the surrounding information around it, rather than trying to search broadly. This mental shift helps these systems find the right information faster and more accurately, which means better answers for your business.