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You need to split a document into 200-token chunks with 50-token overlap, but want to avoid breaking sentences across chunks. Which method in langchain best achieves this?

hard📝 Application Q8 of 15
LangChain - Text Splitting
You need to split a document into 200-token chunks with 50-token overlap, but want to avoid breaking sentences across chunks. Which method in langchain best achieves this?
AUse a TokenTextSplitter combined with a SentenceSplitter to split on sentence boundaries after token splitting
BUse only TokenTextSplitter with chunk_size=200 and chunk_overlap=50
CUse a CharacterTextSplitter with chunk_size=200 and chunk_overlap=50
DManually split text by sentences and ignore token counts
Step-by-Step Solution
Solution:

  1. Step 1: Understand the requirement

    Chunks must be 200 tokens with 50 overlap and not split sentences.

  2. Step 2: Evaluate options

    TokenTextSplitter alone does not guarantee sentence boundaries.

  3. Step 3: Combine splitting strategies

    Using TokenTextSplitter with SentenceSplitter ensures token-based chunks respect sentence boundaries.

  4. Final Answer:

    Use a TokenTextSplitter combined with a SentenceSplitter to split on sentence boundaries after token splitting -> Option A

  5. Quick Check:

    Combining token and sentence splitting preserves boundaries [OK]
Quick Trick: Combine token and sentence splitting for boundary-safe chunks [OK]
Common Mistakes:
  • Relying on TokenTextSplitter alone for sentence boundaries
  • Using character-based splitting ignoring tokens
  • Manually splitting without token counts

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