---
title: "Vector embeddings and semantic space"
description: "Compare distance, dot product, and cosine on the same two documents, then decide which comparisons your embedding model supports."
canonical_url: "https://fanout.sh/ai-engineering/lessons/vector-embeddings-semantic-space"
md_url: "https://fanout.sh/ai-engineering/lessons/vector-embeddings-semantic-space.md"
access: "public"
---

# Vector embeddings and semantic space

Compare distance, dot product, and cosine on the same two documents, then decide which comparisons your embedding model supports.

---
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