1Z0-1127-25 LangChain and AI Application Development Practice Question
A company has a collection of PDF documents that are 500 pages each. They want to build a RAG system using LangChain and FAISS. They need to ensure that each chunk has enough context for accurate retrieval while keeping chunk size small enough for efficient embedding. They also want some overlap between chunks to avoid losing context at boundaries. Which text splitter configuration is most appropriate?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
RecursiveCharacterTextSplitter with chunk_size=1000 and chunk_overlap=200
RecursiveCharacterTextSplitter with a moderate chunk_size (e.g., 1000 characters) and a chunk_overlap of 10-20% is a standard choice for balancing context and efficiency.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
RecursiveCharacterTextSplitter with chunk_size=5000 and chunk_overlap=0
Why it's wrong here
Large chunks may exceed token limits and lose precision; no overlap may lose context.
- ✗
CharacterTextSplitter with chunk_size=2000 and chunk_overlap=500
Why it's wrong here
CharacterTextSplitter splits on character, not paragraph, leading to broken sentences.
- ✗
TokenTextSplitter with chunk_size=100 and chunk_overlap=10
Why it's wrong here
Too small chunks; 100 tokens may not hold enough context.
- ✓
RecursiveCharacterTextSplitter with chunk_size=1000 and chunk_overlap=200
Why this is correct
1000 characters provides good context, 200 overlap (20%) avoids boundary loss.
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