1Z0-1127-25 LangChain and AI Application Development Practice Question
When using LangChain's RetrievalQA chain with `chain_type="stuff"`, what happens if the retrieved documents exceed the model's context window?
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
✓
The chain raises an error because the input is too long
The "stuff" chain type simply concatenates all retrieved documents into the prompt. If the total exceeds the context window, a TokenLimitError or similar error occurs. Other chain types like "map_reduce" or "refine" can handle larger contexts.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
The chain automatically truncates the documents to fit
Why it's wrong here
Stuff does not truncate; it will fail.
- ✓
The chain raises an error because the input is too long
Why this is correct
Stuff chain will fail due to context length exceeded.
- ✗
The chain uses a sliding window to summarize documents
Why it's wrong here
That behavior is for map_reduce or refine chains.
- ✗
The chain switches to a different model with larger context
Why it's wrong here
No automatic model switching.
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