[Solved] retriever = MultiQueryRetriever(queries=["What is AI?", "Define ML"], retriever=base_retriever) results = retriever.get_relevant_documents("Explain technology") | LangChain

LangChain - RAG Chain Construction

After executing the following code, what is the expected data type of results?

retriever = MultiQueryRetriever(queries=["What is AI?", "Define ML"], retriever=base_retriever)
results = retriever.get_relevant_documents("Explain technology")

AA dictionary mapping queries to document counts.

BA list of Document objects containing retrieved documents.

CA single Document object representing the best match.

DA string summarizing all retrieved documents.

Step-by-Step Solution

Solution:

Step 1: Understand get_relevant_documents
This method returns a list of Document objects relevant to the queries.
Step 2: MultiQueryRetriever behavior
It aggregates documents from multiple queries into a combined list.
Final Answer:
A list of Document objects containing retrieved documents. -> Option B
Quick Check:
Retrieval methods return lists of documents [OK]

Quick Trick: get_relevant_documents returns a list of Document objects [OK]

Common Mistakes:

Expecting a dictionary or summary string
Assuming a single Document is returned
Confusing document counts with documents

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More LangChain Quizzes

After executing the following code, what is the expected data type of results?

Step 1: Understand get_relevant_documents

Step 2: MultiQueryRetriever behavior

Final Answer:

Quick Check:

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