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Why does token-based splitting sometimes produce different chunk sizes even with fixed chunk_size and chunk_overlap?

hard📝 Conceptual Q10 of 15
LangChain - Text Splitting
Why does token-based splitting sometimes produce different chunk sizes even with fixed chunk_size and chunk_overlap?
ABecause tokens vary in length and sentence boundaries may adjust splits
BBecause chunk_size is ignored in token splitting
CBecause overlap is always zero in token splitting
DBecause token splitting merges all chunks into one
Step-by-Step Solution
Solution:
  1. Step 1: Understand token variability

    Tokens can represent different lengths of text, so chunk sizes in characters vary.
  2. Step 2: Consider sentence boundary adjustments

    When respecting sentence boundaries, chunk sizes may adjust to avoid splitting sentences.
  3. Final Answer:

    Because tokens vary in length and sentence boundaries may adjust splits -> Option A
  4. Quick Check:

    Token length + sentence boundary affect chunk size [OK]
Quick Trick: Token length and sentence boundaries cause size variation [OK]
Common Mistakes:
  • Assuming fixed chunk size always applies exactly
  • Thinking overlap is always zero
  • Believing chunks merge automatically

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