---
title: "From data to vectors"
description: "How a document becomes a point in space: pick properties that matter (length, topic, tone…), score each one, and the scores become coordinates. Two hand-pi"
canonical_url: "https://fanout.sh/ai-engineering/lessons/how-are-vectors-constructed"
md_url: "https://fanout.sh/ai-engineering/lessons/how-are-vectors-constructed.md"
access: "public"
---

# From data to vectors

How a document becomes a point in space: pick properties that matter (length, topic, tone…), score each one, and the scores become coordinates. Two hand-pi

## Public overview

How a document becomes a point in space: pick properties that matter (length, topic, tone…), score each one, and the scores become coordinates. Two hand-picked axes are enough to see clusters form — fiction here, non-fiction there — and the leap to real systems is letting a trained neural network choose hundreds of axes for you instead of two.

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