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Why might you choose to use RunnablePassthrough instead of RunnableLambda when building a Langchain pipeline?

hard📝 Conceptual Q10 of 15
LangChain - Chains and LCEL
Why might you choose to use RunnablePassthrough instead of RunnableLambda when building a Langchain pipeline?
ATo automatically log inputs and outputs
BBecause RunnableLambda cannot handle strings
CTo keep input unchanged without extra processing overhead
DBecause RunnablePassthrough can modify inputs
Step-by-Step Solution
Solution:
  1. Step 1: Understand RunnablePassthrough's role

    It returns input unchanged, useful when no processing is needed.
  2. Step 2: Compare with RunnableLambda

    RunnableLambda runs a function, which adds processing overhead.
  3. Final Answer:

    To keep input unchanged without extra processing overhead -> Option C
  4. Quick Check:

    Passthrough = no processing overhead [OK]
Quick Trick: Use passthrough to avoid unnecessary processing [OK]
Common Mistakes:
  • Thinking RunnableLambda can't handle strings
  • Assuming passthrough modifies input
  • Believing passthrough logs data automatically

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