Simor
Data Infrastructure for Production AI
Practical writing on AI data engineering, feature stores, and the infrastructure choices that determine whether AI systems work in production.
You are looking for a place to swim in warm weather. You do not know the address. Instead, you walk into a city where the street layout encodes meaning. You ask a local: "Where can I swim somewhere wa
A software debugging agent receives a bug report. It needs to search code, understand the error, propose a fix, write tests, and summarize for the developer. None of these steps are independent. Each
You have a treasure map where X marks the spot. Not for gold, but for meaning. The map places every concept at a coordinate. Related concepts sit near each other. "Dog" and "puppy" are neighbors. "Cat
You stand at a hotel concierge desk. You want a table at the restaurant downstairs, a reservation at the spa, theater tickets, and a car to the airport. You do not want the concierge to do these thing
Most teams implement retrieval-augmented generation and call it a knowledge layer. Give the model access to a vector database, stuff in some documents, and ship. This approach works for demos. It fall
Four runners, one baton, four legs of a relay race. Runner A sprints the first leg, hands to Runner B, who sprints the second, hands to C, who hands to D, who crosses the finish line. None of them run
A financial services firm spent eight months building an AI-powered document analysis system. When it came time to deploy, they discovered their retrieval system had no governance layer, their agent h
Pack your bags. You are in Berlin with a US laptop and a German outlet. Your charger works fine, but the plug does not. You dig through your luggage for that travel adapter you bought years ago and fo
In school, one person whispers to two friends, they each tell two more, within hours everyone knows the cafeteria serves pizza tomorrow. The gossip protocol works identically: nodes randomly share inf