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Chunking Strategies for RAG

Lesson 10 of 18

Lessons

  1. 1. The Chunking Problem
  2. 2. Sizing, Overlap, and the Tradeoff Curve
  3. 3. Metadata Enrichment and Chunk Identity
  4. 4. Fixed-Size, Sentence-Based, and Sliding Window Chunking
  5. 5. Recursive Chunking
  6. 6. Language-Specific and Code-Aware Chunking
  7. 7. Document Structure-Based Chunking
  8. 8. Semantic chunking
  9. 9. Sentence-window and parent-child retrieval
  10. 10. Late chunking and contextualized embeddings
  11. 11. Context-Enriched Chunking
  12. 12. Adaptive and Complexity-Based Chunking
  13. 13. LLM-Based and Agentic Chunking
  14. 14. Multi-Modal and Table-Preserving Chunking
  15. 15. Does Your Data Need Chunking?
  16. 16. Production Lifecycle: Versioning, Invalidation, and Refresh
  17. 17. Evaluating Chunking Quality
  18. 18. Strategy Comparison and the Decision Framework
  19. Key takeaways
  20. How to get certified
  21. Your certificate

Late chunking and contextualized embeddings

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