WHY KNOWLEDGE GRAPH PROJECTS FAIL – AND HOW TO MAKE THEM SUCCEED

Summary from the TLDR IT newsletter

Knowledge graph projects usually fail because of flawed modeling, unclear purpose, poor scope, weak long-term planning, and inappropriate operational practices rather than because of a particular technology stack. The recommended approach is to start with use cases, build governed data incrementally, prefer federated graphs where appropriate, expose controlled APIs, and let AI query graphs instead of stuffing graph content into context windows.