The irreducible epistemic atoms underlying the curriculum. 4,828 atoms across 8 types and 2 molecules
When building knowledge systems that will interface with AI, treat every link you create as infrastructure that future graph traversal algorithms will follow, prioritizing explicit relationship encoding over implicit semantic similarity because GraphRAG systems require edges to perform multi-hop reasoning.
When building knowledge graphs, limit relationship type taxonomies to 5-7 types rather than attempting comprehensive ontological coverage, because classification overhead beyond this threshold produces diminishing informational returns while increasing maintenance cost.
When AI systems traverse your knowledge graph, maintain typed relationship labels with explicit predicates rather than relying on semantic similarity alone, because typed edges enable logical reasoning while embeddings only surface associative proximity.