AI, XR, DevOps, graph theory, knowledge graphs, and digital sovereignty. Deep dives, tutorials, and analysis from across the GraphWiz knowledge base.
Practical Cypher optimization techniques — query execution plans, indexing strategies, pattern tuning, subquery design, production monitoring, and APOC…
A practical guide to Cypher query optimisation — reading query plans, choosing indexes, avoiding Eager operations, subquery predicates with EXISTS, plan…
Practical graph data modeling patterns for Neo4j — when to use relationships vs properties, the hypernode strategy, time-aware graphs, and polymorphic…
A practical guide to graph data modeling patterns in Neo4j — adjacency lists, intermediate nodes, time-series models, hierarchies, and polymorphic…
A practical guide to running graph algorithms in Neo4j — shortest path, PageRank, betweenness centrality, community detection, production deployment…
AWS Context, Neo4j Document Intelligence, Databricks Genie Ontology, and FlureeDB launched within weeks of each other.…
Microsoft's record 206-CVE Patch Tuesday proves CVSS scores alone cannot prioritise. Knowledge graphs mapping dependency blast radius and reachability…
Claude Fable 5's Mythos-class reasoning transforms GraphRAG from promising to production-ready. Multi-hop graph queries, reliable Text-to-Cypher, and…
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…
A comprehensive comparison of Neo4j's official drivers (Python, JavaScript, Java, Go, .NET) and community adapters (Rust, PHP, Ruby, Elixir, Perl), with…
Essential graph theory concepts every software engineer should know — from traversal and shortest-path algorithms to dependency resolution and…
A practical guide to building interactive graph visualizations using Sigma.js and Graphology — from basic setup and force-directed layouts to advanced…
GraphRAG enhances retrieval-augmented generation by grounding LLM responses in structured knowledge graphs instead of flat vector embeddings.…
Get notified when I publish new articles on AI infrastructure, DevOps, and XR development.