Sanyam Bhutani c8b1a2d646 Update final_demo.py		%!s(int64=2) %!d(string=hai) anos
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Part_1_Data_Preperation.ipynb	730bc6f4ca Update Part_1_Data_Preperation.ipynb	%!s(int64=2) %!d(string=hai) anos
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Part_3.ipynb	abe2c5aed3 Add Gradio App and Re-fact Part 3 nb	%!s(int64=2) %!d(string=hai) anos
Part_3_Testing.ipynb	aaadefb19d Notebook for Part 3	%!s(int64=2) %!d(string=hai) anos
README.md	9bbf3efa04 Add high level ReadMe	%!s(int64=2) %!d(string=hai) anos
final_demo.py	c8b1a2d646 Update final_demo.py	%!s(int64=2) %!d(string=hai) anos
gradio_app.py	abe2c5aed3 Add Gradio App and Re-fact Part 3 nb	%!s(int64=2) %!d(string=hai) anos
label_script.py	7a9e595d10 Update label_script.py	%!s(int64=2) %!d(string=hai) anos

End to End Example using Llama models for Multi-Modal RAG

TODO: Add details later

Step 1: Data Prep and Synethetic Labelling using 11B model Step 2: Cleaning up Synthetic Labels and preparing the dataset Step 3: Notebook 3: MM-RAG using lance-db to validate idea Step 4: Gradio App using Together API for Llama-3.2-11B and Lance-db for RAG

TODO: Add Diagram/Flow-Chart

README.md

End to End Example using Llama models for Multi-Modal RAG