Cloud-Native GraphRAG: AI’s Logical Edge
summary
Claims that graph-augmented retrieval improves accuracy and explainability for logic-heavy tasks, demonstrated by re-evaluating a 36-seat classroom puzzle where an LLM anchors on a 6x6 grid and returns 9 girls while a graph-aware layout finds up to 18, exposing model bias. Live demo builds a knowledge graph on Neo4j Aura from a BOM and a VEX file using an LLM and the knowledge-graph-builder on the cloud-native OPEA platform, producing nodes that surface a Jackson vulnerability and returning useful, testable answers.
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