Data & AI

Chunking Strategies for Document Parsing

Data & AI Pipelines diagram · made in Skemio

Diagram comparing three document chunking strategies: fixed character slicing, recursive syntax-aware splitting, and semantic boundary detection feeding into an embedding index.
Diagram comparing three document chunking strategies: fixed character slicing, recursive syntax-aware splitting, and semantic boundary detection feeding into an embedding index.
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What it shows

  • Fixed-size chunking is fast but frequently splits sentences in half.
  • Recursive character splitting respects headers and paragraph breaks.
  • Semantic chunking splits on embedding distance changes between sentences.

The takeaway

Choose fixed chunking for simple benchmarks, recursive for standard text, and semantic for dense domains.

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