Topic — 3 essays
AI & Data Architecture
What generative AI changes about data architecture and what it doesn't: RAG quality, AI querying the warehouse, and why structure and governance just became load-bearing.
Field Notes
What Is a Vector Database, and Do You Need One?
A vector database stores embeddings and finds items by meaning rather than exact match. What that's for, how it fits your stack, and when a dedicated one pays.
02Essay
Your AI Is Only as Good as Your Data Architecture
RAG, AI agents, and LLMs querying your warehouse are only as reliable as the data beneath them. GenAI raises the price of getting the architecture wrong.
03Reconsidered
What GenAI Actually Changes About Data Architecture — and What It Doesn't
GenAI adds vector storage and new retrieval patterns to the data stack, but structure, quality, governance, and ownership matter more than ever, not less.