# 🩺 MedicalBot | RAG, GPT-4.1-Nano, LangChain, Pinecone, Flask, Hugging Face

## 🧠 Overview
**MedicalBot** is a **Retrieval-Augmented Generation** (**RAG**)–based **medical chatbot** that leverages **GPT-4.1-Nano** as its core Large Language Model.  
It retrieves contextually relevant information from medical data using a **LangChain-powered RAG pipeline**, enabling **accurate and reliable medical responses** in real-time.

The system combines **Hugging Face Sentence Embeddings** with **Pinecone Vector Storage** to achieve intelligent retrieval and contextual reasoning.  
It is deployed with **Flask** for an interactive web-based chatbot experience.

> ⚠️ **Disclaimer:**  
> MedicalBot is intended **for informational and educational purposes only**.  
> It should not be used as a substitute for professional medical diagnosis or treatment.

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## ⚙️ Technical Stack

| Component | Technology |
|------------|-------------|
| 💬 Language Model | GPT-4.1-Nano |
| 🔍 Retrieval Framework | LangChain |
| 🧠 Embedding Model | Hugging Face Sentence Transformers |
| 🧩 Vector Database | Pinecone |
| 🌐 Web Framework | Flask |
| ☁️ Hosting / Repository | Hugging Face Hub |

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## 🚀 Key Features
- 🩹 Retrieves **domain-specific medical answers** using RAG  
- ⚡ **Fast and efficient** generation via GPT-4.1-Nano  
- 🧠 Improved reliability using **Pinecone vector search**  
- 🔗 **LangChain**-based retrieval and generation pipeline  
- 🌍 Supports **English** queries  
- 💬 Ready for integration into **Flask / FastAPI / Streamlit** chat interfaces  

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## 🧾 Intended Use Cases
- 🩺 Patient education and medical Q&A
- 🧬 Clinical knowledge retrieval
- 🩹 Healthcare training assistant
- 🧠 AI-powered telemedicine support

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## 👨‍💻 Developed by
**Md. Aiyub Ali**  
AI Engineer | HawkEyes Digital Monitoring Ltd.  
Expert in **Generative AI**, **RAG Systems**, and **Medical LLMs**  
🔗 [Hugging Face Profile](https://huggingface.co/aiyubali)