Knowledge graph architecture gives enterprises ownership of the AI intelligence they create
SiliconANGLE 1 month ago 28 ● 3 sources
Shan Rizvi argues that knowledge graph architecture, moving beyond simple retrieval-augmented generation, enables enterprises to build traceable AI reasoning systems they own and control. A medical knowledge graph built with Neo4j handling millions of nodes demonstrated that production deployment requires careful attention to latency, with single-hop retrieval for simple queries and recursive traversal reserved for complex relational reasoning. Organizations that structure their data as domain ontologies rather than unstructured search indexes will gain competitive advantage by accumulating proprietary intelligence that improves over time.