Working notes on AI engineering — retrieval, embeddings, and the parts of applied machine learning that only make sense once you’ve shipped them.

Notes here are written for my future self: short, opinionated, and biased toward the detail that actually mattered in practice. They get revised as my understanding does.

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How this is organised

Notes carry a track (APPLIED for things I’ve built with, THEORY for things I’m still reading into), a topic, and prereqs where the note assumes something earlier. Use the Explorer on the left to browse, Search to jump straight to a term, or the Graph on the right to follow how notes connect.

Some notes are private and ask for a password.