June 8, 2026· ~11 min readGraphRAG for $30: Lazy Extraction That Actually Works ## Introduction The dirty secret of early GraphRAG deployments in 2024: indexing a million-document corpus cost $30,000+ in LLM API tokens. Before a
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· ~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
June 4, 2026· ~8 min readWhat Are Knowledge Graphs? A Practical Introduction ## From Tables to Networks Most software engineers are trained to think in tables. Relational databases, spreadsheets, ORMs — rows and columns are t
September 11, 2026· ~5 min readKnowledge Graph Poisoning: How Attackers Corrupt RAG at the Source Retrieval-augmented generation has a trust model, whether you designed one or not. Whatever the retriever returns is treated as ground truth by the g