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- `Rag.py` is the Core RAG pipeline, backend
- `app.py` is the frontend code implemented with streamlit
- `data_processing.py` contains code to process the original guideline knowledge base for the rag system
- `system_prompt.txt` is the system prompt we give to the LLM
- `run_batched_queries/` contains code to run multiple queries using the system and write results to a markdown file
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