---
title: "Vector compression"
description: "Storing millions of 4096-dimension float32 vectors gets expensive fast, so production systems shrink them: fewer dimensions, smaller number formats, or coa"
canonical_url: "https://fanout.sh/ai-engineering/lessons/vector-compression"
md_url: "https://fanout.sh/ai-engineering/lessons/vector-compression.md"
access: "public"
---

# Vector compression

Storing millions of 4096-dimension float32 vectors gets expensive fast, so production systems shrink them: fewer dimensions, smaller number formats, or coa

## Public overview

Storing millions of 4096-dimension float32 vectors gets expensive fast, so production systems shrink them: fewer dimensions, smaller number formats, or coarser codes. Compression trades a little recall for a lot of memory and speed — the art is knowing how much accuracy your product can give away.

---
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