LangChain: Native Parent Child retriever for MongoDB

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    • Type: New Feature
    • Resolution: Done
    • Priority: Unknown
    • pymongoarrrow-0.3.0
    • Affects Version/s: None
    • Component/s: AI/ML
    • None
    • Python Drivers
    • Not Needed
    • None
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      Currently, the Parent document retriever in LangChain takes in two memory sources in the definition, i.e., a vectorStore and a docStore.

      retriever = ParentDocumentRetriever(
    vectorstore=vectorstore,
    docstore=store,
    child_splitter=child_splitter,
)

      Given MongoDB being a full-fledged database and a vector search, we can both the stages in a single database and correspondingly use a single query pipeline to make this a much efficient query.

      Definition of Done:

      (a) Create a brief/1-page API Google design doc for the proposed feature that we can put to review with the product and langchain stakeholders
      (b) Implement code based on the lgtm'ed design doc

            Assignee:
            Casey Clements
            Reporter:
            Prakul Agarwal
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              Created:
              Updated:
              Resolved: