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  1. Python Driver
  2. PYTHON-4063

LlamaIndex: MongoDB template for Llama_packs

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      1. What would you like to communicate to the user about this feature?
      2. Would you like the user to see examples of the syntax and/or executable code and its output?
      3. Which versions of the driver/connector does this apply to?

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      1. What would you like to communicate to the user about this feature? 2. Would you like the user to see examples of the syntax and/or executable code and its output? 3. Which versions of the driver/connector does this apply to?

      Context

      LlamaIndex recently launched [Llamalacks|https://x.com/jerryjliu0/status/1727366284365660255.|https://x.com/jerryjliu0/status/1727366284365660255]]The goal is to provide prepackaged modules on LlamaHub that are downloadable, achieves a goal, and can be run out of the box or dissected as a code file.
       
      MongoDB has a  starter notebook to build a RAG pipeline, which needs to be used for building a llamapack: https://github.com/prakul/MongoDB-AI-Resources/blob/main/llamaIndex%2BmongoDB.ipynb
       

      Definition of done

       
      A Llamapack for creating a RAG pipeline using MongoDB + llamaIndex based on the linked notebook
      Could be as simple as copying/pasting code from existing notebooks and repackaging it here.  The hope is that this takes 30 mins to an hour of time, since one can just copy/paste from the existing notebook.

       

            Assignee:
            casey.clements@mongodb.com Casey Clements
            Reporter:
            prakul.agarwal@mongodb.com Prakul Agarwal
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              Created:
              Updated: