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A project demonstrating the ability to utilize Agentic AI workflows to perform analysis and discovery on aspects of US Healthcare Taxation Laws. Utilizes an underlying RAG framework for Response Generation. Also includes a comparison of LlamaIndex vs a custom framework that makes use of retrieval strategies like Hyde and Multi-Query Transformations

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Amurut/Healthcare-Taxation-Assistant

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Healthcare-Taxation-Assistant

A project demonstrating the ability to utilize Agentic AI workflows to perform analysis and discovery on aspects of US Healthcare Taxation Laws

How to run?

  1. Install dependencies from requirements.txt ( sampple command : pip install -r requirements.txt)
  2. Run command in terminal : streamlit run app.py
  3. Once the application is up and running, enter LLM (OpenAI) API key. (Llama support coming soon).
  4. Authenticate key
  5. Choose Framework, RAG strategy and LLM. Queries can now be asked.

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A project demonstrating the ability to utilize Agentic AI workflows to perform analysis and discovery on aspects of US Healthcare Taxation Laws. Utilizes an underlying RAG framework for Response Generation. Also includes a comparison of LlamaIndex vs a custom framework that makes use of retrieval strategies like Hyde and Multi-Query Transformations

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