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How can you combine ContextualCompressionRetriever with a vector store retriever to improve search efficiency?

hard📝 Application Q9 of 15
LangChain - RAG Chain Construction
How can you combine ContextualCompressionRetriever with a vector store retriever to improve search efficiency?
AWrap the vector store retriever with ContextualCompressionRetriever to compress retrieved vectors' documents
BUse ContextualCompressionRetriever to generate vectors directly
CReplace vector store retriever with ContextualCompressionRetriever
DRun both retrievers independently and merge results manually
Step-by-Step Solution
Solution:

  1. Step 1: Understand roles of retrievers

    Vector store retriever retrieves documents by vector similarity; compression retriever compresses documents.

  2. Step 2: Combine by wrapping

    Wrapping vector store retriever with compression retriever compresses documents after retrieval, improving efficiency.

  3. Final Answer:

    Wrap the vector store retriever with ContextualCompressionRetriever to compress retrieved vectors' documents -> Option A

  4. Quick Check:

    Wrap vector retriever with compression = D [OK]
Quick Trick: Wrap vector retriever with compression retriever [OK]
Common Mistakes:
  • Expecting compression retriever to generate vectors
  • Replacing vector retriever entirely
  • Merging results manually wastes efficiency

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