llamaindex-omakase-rag

This project enhances the construction of RAG applications by addressing challenges, improving accessibility, scalability, and managing data and user access. It uses Django, Llamaindex, and Google Drive for effective database management. Maintained by ammirsm on GitHub, where it has earned 144 stars from the community.

It's actively developed around celery, celerybeat, django, and is a solid reference for anyone building with these tools.