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In a RAG system using Langchain, you want to improve answer quality by using conversation history. Which approach best achieves this?

hard📝 Application Q15 of 15
LangChain - Conversational RAG
In a RAG system using Langchain, you want to improve answer quality by using conversation history. Which approach best achieves this?
AConcatenate all previous messages into one string and pass it as the query to the retriever.
BIgnore conversation history and only use the current query for retrieval.
CUse a structured list of past messages and append the current user query before retrieval.
DClear conversation history after every retrieval to avoid confusion.
Step-by-Step Solution
Solution:

  1. Step 1: Understand how to use conversation history effectively

    Using a structured list preserves roles and context, helping retrieval.

  2. Step 2: Combine history with current query properly

    Appending the current query to the history list keeps context and focuses retrieval.

  3. Final Answer:

    Use a structured list of past messages and append the current user query before retrieval. -> Option C

  4. Quick Check:

    Structured history + query = B [OK]
Quick Trick: Keep structured history and add current query [OK]
Common Mistakes:
  • Passing all messages as one string
  • Ignoring history completely
  • Clearing history too soon

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