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You want to build a LangChain app that answers follow-up questions about a user's previous queries but resets context after 3 questions. Which approach best achieves this?

hard📝 Application Q15 of 15
LangChain - Conversational RAG
You want to build a LangChain app that answers follow-up questions about a user's previous queries but resets context after 3 questions. Which approach best achieves this?
AUse ConversationChain and clear its memory after every 3 predictions
BCreate a new ConversationChain instance for each question
CUse ConversationChain without clearing memory to keep all history
DUse OpenAI directly without ConversationChain
Step-by-Step Solution
Solution:

  1. Step 1: Understand requirement to reset context

    The app needs to keep context but reset after 3 questions to avoid long history.

  2. Step 2: Choose method to reset memory

    ConversationChain supports memory clearing; clearing after 3 predictions resets context properly.

  3. Step 3: Evaluate other options

    Creating new instances loses all context immediately; keeping all history ignores reset; using OpenAI directly lacks conversation memory.

  4. Final Answer:

    Use ConversationChain and clear its memory after every 3 predictions -> Option A

  5. Quick Check:

    Reset context by clearing ConversationChain memory = A [OK]
Quick Trick: Clear ConversationChain memory to reset context after set questions [OK]
Common Mistakes:
  • Recreating ConversationChain loses partial context
  • Not resetting memory causes long context buildup
  • Using OpenAI directly loses conversation flow
  • Ignoring how to clear memory properly

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