IT lexicon › AI & ML › Chunking

Chunking

AI & ML På svenska → Updated: 2026-05-23

Splitting long documents into pieces (chunks) before embedding them for RAG.

Too-big chunk = noise, too-small = lost context. Common: 500-1500 tokens with 10-20% overlap. Good chunking is often what makes or breaks RAG quality — more so than choice of model.

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