KAG reimagines knowledge retrieval by positioning facts, classes, and instances in a geometric coordinate system where proximity equals relevance. This experimental framework offers objective 'God's-eye view' searches and subjective 'borrow a pair of eyes' perspectives, fundamentally changing how we navigate information in RAG systems.