MultiQueryRetriever | πŸ¦œοΈπŸ”— Langchain thumbnail
MultiQueryRetriever | πŸ¦œοΈπŸ”— Langchain
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Distance-based vector database retrieval embeds (represents) queries in high-dimensional space and finds similar embedded documents based on "distance" The MultiQueryRetriever automates the process of prompt tuning by using an LLM to generate multiple queries from different perspectives for a given
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Top Highlights

  • Distance-based vector database retrieval embeds (represents) queries in high-dimensional space and finds similar embedded documents based on "distance"
  • The MultiQueryRetriever automates the process of prompt tuning by using an LLM to generate multiple queries from different perspectives for a given user input query.
  • the MultiQueryRetriever might be able to overcome some of the limitations of the distance-based retrieval and get a richer set of results.
  • queries in high-dimensional space and finds similar embedded documents based on
  • etrieval may produce difference results with subtle changes in query wording

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