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.
- depends on
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PYTHON-4160 LLamaIndex - Add to ai-ml-pipeline
- Closed