Category
AI Engineering Foundations
Accurate mental models for the core concepts behind modern AI systems — written for software engineers, not beginners.
What Is a Vector Database?
What a vector database actually adds on top of raw embeddings — approximate nearest neighbor search at scale — and the trade-offs that come with the word "approximate."
What Are Vector Embeddings?
How text becomes a point in space, why "similar" ends up meaning something precise and measurable, and where that precision quietly breaks down.
What Is an LLM?
A precise mental model for what a large language model actually computes, why that computation is useful, and where its limits come from structurally rather than incidentally.