🧠 All Things AI
Intermediate

Chunking Strategies

Fixed-size, semantic, and hierarchical chunking — what works for different document types and query patterns.

What You Will Learn

  • Fixed-size chunking: simple, predictable, loses semantic boundaries
  • Semantic chunking: split on paragraphs, sections, or meaning shifts
  • Hierarchical chunking: small chunks with parent-doc context attached
  • Overlap: why adding chunk overlap improves retrieval recall
  • Choosing chunk size: 256 vs 512 vs 1024 tokens — tradeoffs

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