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Identify the error in this code snippet using multi-query retrieval:

medium📝 Debug Q14 of 15
LangChain - RAG Chain Construction
Identify the error in this code snippet using multi-query retrieval: 
retriever = MultiQueryRetriever.from_llm(vectorstore, llm)
results = retriever.get_relevant_documents("AI")
Avectorstore.as_retriever() is missing
Bget_relevant_documents requires a query argument
Cvectorstore is not defined
DMultiQueryRetriever does not exist in langchain
Step-by-Step Solution
Solution:

  1. Step 1: Check the constructor parameters

    from_llm expects a BaseRetriever as the first argument, but vectorstore is a VectorStore; use vectorstore.as_retriever().

  2. Step 2: Verify other parts of the code

    get_relevant_documents has argument; llm assumed defined; class exists.

  3. Final Answer:

    vectorstore.as_retriever() is missing -> Option A

  4. Quick Check:

    from_llm requires BaseRetriever [OK]
Quick Trick: from_llm needs vectorstore.as_retriever() [OK]
Common Mistakes:
  • Passing vectorstore directly instead of retriever
  • Thinking get_relevant_documents needs no arg when it does
  • Assuming vectorstore undefined without context

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