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Chunking Strategies for RAG

Fixed-size to late chunking, overlap to context enrichment, evaluation to production lifecycle — every strategy measured, diagrammed, and decided.

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18 lessons
  1. 1. The Chunking Problem10 min
  2. 2. Sizing, Overlap, and the Tradeoff Curve10 min
  3. 3. Metadata Enrichment and Chunk Identity10 min
  4. 4. Fixed-Size, Sentence-Based, and Sliding Window Chunking8 min
  5. 5. Recursive Chunking7 min
  6. 6. Language-Specific and Code-Aware Chunking7 min
  7. 7. Document Structure-Based Chunking9 min
  8. 8. Semantic chunking9 min
  9. 9. Sentence-window and parent-child retrieval8 min
  10. 10. Late chunking and contextualized embeddings9 min
  11. 11. Context-Enriched Chunking9 min
  12. 12. Adaptive and Complexity-Based Chunking10 min
  13. 13. LLM-Based and Agentic Chunking13 min
  14. 14. Multi-Modal and Table-Preserving Chunking11 min
  15. 15. Does Your Data Need Chunking?11 min
  16. 16. Production Lifecycle: Versioning, Invalidation, and Refresh12 min
  17. 17. Evaluating Chunking Quality13 min
  18. 18. Strategy Comparison and the Decision Framework21 min
  19. Key takeaways4 min
  20. How to get certified3 min
  21. Your certificate

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