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🧩Learn Chunking Strategies for RAG

Compare fixed, recursive, semantic, and document-aware chunking on the same source so trade-offs become visible — then pick a chunking strategy for one of your own document types and defend the choice.

Applied14 drops~2-week path · 5–8 min/daytechnology

Phase 1Why Chunking Decides Your Retrieval Quality

See why chunk size and boundaries beat fancier embedding tricks

4 drops
  1. Bad chunks beat a great embedding model every time

    6 min

    Bad chunks beat a great embedding model every time

  2. The 500-token chunk is a hunch, not a strategy

    6 min

    The 500-token chunk is a hunch, not a strategy

  3. Retrieval doesn't fail loudly — it fails by half-answer

    7 min

    Retrieval doesn't fail loudly — it fails by half-answer

  4. Four chunking strategies, one decision space

    6 min

    Four chunking strategies, one decision space

Phase 2Fixed, Recursive, and Semantic on One Doc

Run fixed, recursive, and semantic splits on one document

5 drops
  1. Pick one document and three queries — that's your test rig

    7 min

    Pick one document and three queries — that's your test rig

  2. Run fixed-size first — the baseline that exposes everything else

    7 min

    Run fixed-size first — the baseline that exposes everything else

  3. Recursive splitting respects what your document already tells it

    7 min

    Recursive splitting respects what your document already tells it

  4. Semantic chunking splits where the topic actually shifts

    8 min

    Semantic chunking splits where the topic actually shifts

  5. Three strategies, three queries — read the diff before you decide

    8 min

    Three strategies, three queries — read the diff before you decide

Phase 3Overlap, Parent-Child, and Structure-Aware Splits

Handle overlap, parent-child chunks, and code, tables, PDFs

4 drops
  1. Overlap, parent-child, or structure-aware — pick the fix at the scale of the failure

    8 min

    Overlap, parent-child, or structure-aware — pick the fix at the scale of the failure

  2. Embed small for precision, return big for context — that's parent-child

    8 min

    Embed small for precision, return big for context — that's parent-child

  3. Code and tables fail because their boundaries aren't punctuation

    8 min

    Code and tables fail because their boundaries aren't punctuation

  4. With PDFs, the first chunking decision is which extractor to trust

    8 min

    With PDFs, the first chunking decision is which extractor to trust

Phase 4Pick and Defend a Strategy for Your Docs

Pick and defend a chunking strategy for your own document

1 drop
  1. Pick a chunking strategy for your own document type — and defend it

    18 min

    Pick a chunking strategy for your own document type — and defend it

Frequently asked questions

Why does my RAG system miss obvious matches near boundaries?
This is covered in the “Learn Chunking Strategies for RAG” learning path. Start with daily 5-minute micro-lessons that build from fundamentals to hands-on application.
What's the difference between fixed, recursive, and semantic chunking?
This is covered in the “Learn Chunking Strategies for RAG” learning path. Start with daily 5-minute micro-lessons that build from fundamentals to hands-on application.
How do I pick a chunk size for my documents?
This is covered in the “Learn Chunking Strategies for RAG” learning path. Start with daily 5-minute micro-lessons that build from fundamentals to hands-on application.
When should I use parent-child chunks instead of bigger chunks?
This is covered in the “Learn Chunking Strategies for RAG” learning path. Start with daily 5-minute micro-lessons that build from fundamentals to hands-on application.
Does chunking matter more than the embedding model I choose?
This is covered in the “Learn Chunking Strategies for RAG” learning path. Start with daily 5-minute micro-lessons that build from fundamentals to hands-on application.