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To maximize recall when combining multi-query retrieval with a semantic search retriever in langchain, which strategy is most effective?

hard📝 Conceptual Q8 of 15
LangChain - RAG Chain Construction
To maximize recall when combining multi-query retrieval with a semantic search retriever in langchain, which strategy is most effective?
AUse a single broad query to reduce complexity and speed up retrieval.
BRun multiple semantically diverse queries and merge results while removing duplicates.
CRun queries sequentially and only keep the first query's results.
DDisable semantic search and rely solely on keyword matching.
Step-by-Step Solution
Solution:

  1. Step 1: Understand recall improvement

    Multiple diverse queries cover different facets, increasing recall.

  2. Step 2: Combine semantic search

    Semantic search improves relevance; merging results with deduplication avoids redundancy.

  3. Final Answer:

    Run multiple semantically diverse queries and merge results while removing duplicates. -> Option B

  4. Quick Check:

    Diverse queries + deduplication = better recall [OK]
Quick Trick: Merge diverse semantic query results and remove duplicates [OK]
Common Mistakes:
  • Using only one broad query
  • Ignoring duplicates in merged results
  • Disabling semantic search unnecessarily

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