GeoAI: How GraphRAG Unlocks Complex Geospatial Knowledge

Large language models struggle with spatially explicit tasks, achieving only 37% accuracy, but connecting them to structured geographic knowledge graphs through GraphRAG improves accuracy to 81% by generating precise database queries instead of relying on textual patterns.   Large language models (LLMs) like ChatGPT have become widely used tools, but they face significant challenges when handling geospatial information. Ask ChatGPT “What cities with more than 1 mio inhabitants in Europe are east of Berlin?” and you might get a confident answer that’s incorrect. This limitatio..