Complete the code to import the MultiQueryRetriever class from langchain.
from langchain.retrievers import [1]
The MultiQueryRetriever class is imported from langchain.retrievers to enable multi-query retrieval.
Complete the code to create a MultiQueryRetriever with two queries.
retriever = MultiQueryRetriever(
retrievers=[
retriever1,
retriever2
],
queries=[[1]]
)The queries parameter expects a list of meaningful questions to improve recall. Here, two clear queries are provided.
Fix the error in the code to correctly retrieve documents using MultiQueryRetriever.
docs = retriever.[1]('Explain AI and ML')
The correct method to get documents from a retriever is get_documents. Other method names will cause errors.
Fill both blanks to create a MultiQueryRetriever that combines two retrievers and uses two queries.
retriever = MultiQueryRetriever(
retrievers=[[1], [2]],
queries=['What is AI?', 'What is NLP?']
)To combine two retrievers, you list them inside the retrievers parameter. Here, retriever_a and retriever_b are used.
Fill all three blanks to create a MultiQueryRetriever, run a query, and print the number of documents retrieved.
retriever = MultiQueryRetriever(
retrievers=[[1], [2]],
queries=['Define AI', 'Define ML']
)
docs = retriever.[3]('Define AI and ML')
print(len(docs))The retrievers retriever_x and retriever_y are combined. The method get_documents is called to retrieve documents, then their count is printed.