AI, XR, DevOps, graph theory, knowledge graphs, and digital sovereignty. Deep dives, tutorials, and analysis from across the GraphWiz knowledge base.
After the Munich ruling made Google liable for false AI Overviews, GraphRAG offers the only legally defensible path for enterprise AI.
Graph theory from the ground up — vertices, edges, directed vs undirected, adjacency, degrees, paths, cycles, graph colouring, spanning trees, and the…
A technical deep dive into GQL's (ISO 39075) formal expressiveness limitations — including queries that recursive SQL can express but GQL cannot — with…
Evidence-based analysis of GraphRAG's failure modes — benchmarks where it underperforms vanilla RAG — with concrete mitigations and scenarios where…
How LazyGraphRAG collapses GraphRAG indexing costs from $30,000 to $30 by deferring entity extraction to query time — with practical Python…
How a production Neo4j knowledge graph for medical diagnostics market intelligence implements ontology — node labels, edge semantics, signal…