GraphRAG in Production: Lessons from Real Deployments
What we learned deploying graph-augmented retrieval systems in production environments — from ontology design to query optimization and scaling.
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Insights
Ideas, Analysis, and Technical Deep Dives
Perspectives on software architecture, AI integration, data engineering, and building technology partnerships that work.
Why Your AI Project Needs a Data Architect, Not Just a Prompt Engineer
The gap between AI demos and production AI systems is not better prompts — it is better data architecture. Here is why data modeling matters more than model selection.
Read ArticleDesigning AI-Ready Data Schemas: A Practical Guide
How to design database schemas that serve both your operational needs and your future AI integration requirements — without over-engineering.
Read ArticleThe Case for Embedded Technical Partnerships
Why the traditional client-vendor relationship fails for complex software projects, and how embedded partnerships produce better outcomes for everyone.
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