Deep-Dent-Dentalcare-assistant

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# Deep-Dent RAG Assistant

Deep-Dent RAG Assistant is a Retrieval-Augmented Generation (RAG) system designed to provide dental health guidance by leveraging domain-specific medical documents. The assistant combines modern natural language processing with document retrieval to deliver accurate, context-aware answers for patients, practitioners, and researchers.

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## Features

- Retrieval-Augmented Generation pipeline for dental health queries

- Integration with domain-specific medical PDFs and guidelines

- Lightweight, reproducible Python environment

- Extensible architecture for adding new medical domains

- Clear separation of environment dependencies via requirements.txt

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## Project Structure

Got it — here’s the full README.md in one clean code block so you can copy-paste directly into your repo:

# Deep-Dent RAG Assistant

Deep-Dent RAG Assistant is a Retrieval-Augmented Generation (RAG) system designed to provide dental health guidance by leveraging domain-specific medical documents. The assistant combines modern natural language processing with document retrieval to deliver accurate, context-aware answers for patients, practitioners, and researchers.

---

## Features

- Retrieval-Augmented Generation pipeline for dental health queries

- Integration with domain-specific medical PDFs and guidelines

- Lightweight, reproducible Python environment

- Extensible architecture for adding new medical domains

- Clear separation of environment dependencies via requirements.txt

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## Project Structure



medical_health_rag/ │ ├── app.py # Main entry point for the assistant ├── deep_dent.py # Core RAG pipeline logic ├── Delivering_better_oral_health.pdf # Reference medical document ├── requirements.txt # Python dependencies ├── README.md # Project documentation └── .gitignore # Ignored files and folders

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## Setup Instructions

1. **Clone the repository**

  ```bash

  git clone https://github.com/NikhilRaman12/Deep-Dent-Rag-Assistant.git

  cd Deep-Dent-Rag-Assistant

python -m venv venv

source venv/bin/activate # On Linux/Mac

venv\Scripts\activate # On Windows

2. Install requirements

pip install -r requirements.txt

3. run the app

python app.py

Built With

• faiss
• gradio
• huggingface
• langchain
• ollama
• python
• rag