Medical_Chatbot

🩺 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

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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