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To build a LangChain chatbot that effectively handles follow-up questions, which strategy best ensures the bot retains and uses previous user inputs?

hard📝 Application Q8 of 15
LangChain - Conversational RAG
To build a LangChain chatbot that effectively handles follow-up questions, which strategy best ensures the bot retains and uses previous user inputs?
AOnly use prompt templates without memory or chains
BUse a stateless ConversationChain without any memory component
CReset the ConversationChain after every user input
DIntegrate ConversationBufferMemory with ConversationChain to maintain conversation history
Step-by-Step Solution
Solution:

  1. Step 1: Identify memory usage

    Maintaining conversation history is key for follow-up question handling.

  2. Step 2: Use ConversationBufferMemory

    This memory class stores past interactions for context.

  3. Step 3: Combine with ConversationChain

    ConversationChain with memory enables context-aware responses.

  4. Final Answer:

    Integrate ConversationBufferMemory with ConversationChain to maintain conversation history -> Option D

  5. Quick Check:

    Memory + chain = context retention [OK]
Quick Trick: Combine memory and chain for context retention [OK]
Common Mistakes:
  • Not using any memory component
  • Resetting context too frequently
  • Relying solely on prompt templates

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