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| # Medical QA Chatbot | |
| This is a Chain-of-Thought powered medical chatbot that: | |
| - Retrieves answers from a Qdrant Cloud vector DB using dense + ColBERT multivectors | |
| - Uses Stanford DSPy to reason step-by-step with retrieved context | |
| - Supports traceable source highlighting in Chainlit | |
| - Deployable on Hugging Face Spaces via Docker | |
| --- | |
| ## How to Deploy | |
| - Add your `OPENAI_API_KEY` as a secret environment variable in Hugging Face Space settings | |
| - Make sure `qdrant-client` points to your Qdrant Cloud instance in `rag_dspy.py` | |
| - Run the Space | |
| ## Sample Questions | |
| ### General Medical Knowledge | |
| - What are the most common symptoms of lupus? | |
| - How is type 2 diabetes usually managed in adults? | |
| - What is the difference between viral and bacterial pneumonia? | |
| ### Treatment & Medication | |
| - What are the first-line medications for treating hypertension? | |
| - How does metformin work to lower blood sugar? | |
| ### Diagnosis & Tests | |
| - What diagnostic tests are used to detect rheumatoid arthritis? | |
| - When is a colonoscopy recommended for cancer screening? | |
| ### Hospital & Patient Care | |
| - What are the psychosocial challenges faced by cancer patients? | |
| - How do hospitals manage patients with multidrug-resistant infections? | |
| ### Clinical Guidelines / Rare Topics | |
| - What is the recommended treatment for acute myocardial infarction in elderly patients? |