June 7, 2026· ~16 min readOntology in Graph Databases: Lessons from Building a Medical Diagnostics Knowledge Graph Ontology in a graph database is not an academic exercise — it is the difference between a graph that answers questions and a graph that is a tangled
June 6, 2026· ~9 min readNeo4j Database Adapters Compared: Official and Community Drivers Across Every Major Language Neo4j's core protocol has settled on Bolt as the primary wire protocol since version 4.0, unifying how drivers communicate with the database regardle
June 6, 2026· ~6 min readKnowledge Graphs and Context: Engineering GraphRAG for Production AI ## Beyond the Black Box: Engineering Context for AI with Knowledge Graphs **Tags:** trending, knowledge graphs, context engineering, GraphRAG, LLMs,
June 4, 2026· ~6 min readGraph Theory for Software Engineers: Practical Concepts ## Why Graph Theory? Graphs aren't abstract math — they're everywhere in software: - **Social networks:** Friend graphs, follow graphs, recommendat
June 4, 2026· ~8 min readIntroduction to GraphRAG: Combining Knowledge Graphs with RAG ## The Problem with Vanilla RAG Retrieval-augmented generation (RAG) solved a real problem: LLMs hallucinate when asked about facts not in their tra
June 4, 2026· ~5 min readNeo4j + AI: Building Intelligent Applications with Knowledge Graphs Neo4j and AI are a natural pairing. Graph databases excel at storing and traversing relationships — exactly what LLMs struggle with. By using Neo4j a