July 12, 2026· ~10 min readGraph Data Modeling with Neo4j: Patterns, Anti-Patterns, and Pragmatic Design # Graph Data Modeling with Neo4j: Patterns, Anti-Patterns, and Pragmatic Design Graph databases promise flexible schemas and intuitive data models.
July 11, 2026· ~10 min readGraph Algorithms in Production with Neo4j GDS ## Why Graph Algorithms in Production? Graph databases excel at storing and querying relationships, but the real value emerges when you analyse the
July 11, 2026· ~11 min readKnowledge Graph Construction from Unstructured Data: Building the Pipeline ## Why Construction Is the Hard Part Knowledge graphs are only as valuable as the data they contain. Querying, visualising, and reasoning over a gra
July 8, 2026· ~15 min readGraph-Powered OSINT: Why Knowledge Graphs Are the Missing Layer in Open Source Intelligence Palantir Gotham is valued at over $60 billion. Its core product — an intelligence platform that fuses hundreds of data sources into a single knowledg
July 8, 2026· ~8 min readKnowledge Graph Construction from Unstructured Data: A Practical Pipeline Unstructured text accounts for an estimated 80% of enterprise data — emails, PDFs, internal wikis, support tickets, regulatory filings, and web pages
July 7, 2026· ~13 min readCypher Query Optimization Techniques: From Slow to Sub-Second ## The 10-Second Query Problem You wrote a Cypher query. It returns the right data. Then you run it on a real dataset and it takes ten seconds. A qu