💊 Pharma Dictionary Chatbot

An AI-powered chatbot for pharmaceutical terminology reference built using LangChain and RAG.

🎯 Project Overview This chatbot helps students, healthcare professionals, researchers, and pharmacists quickly understand pharmaceutical terms and definitions from the Pharmacy Dictionary.

🛠️ Technologies Used

• LangChain - AI framework
• HuggingFace - Free LLM (Mistral-7B)
• FAISS - Vector database
• Gradio - Web UI
• RAG - Retrieval Augmented Generation
• Sentence Transformers - Text embeddings

📁 Project Structure

Pharma-Chatbot/
├── Pharma_Chatbot.ipynb    # Main notebook
├── Pharmacy Dictionary.pdf  # Knowledge base
├── requirements.txt         # Dependencies
└── README.md               # Documentation

⚙️ Installation & Setup

1. Clone Repository

git clone https://github.com/mahesh14-cpu/Pharma-Chatbot.git
cd Pharma-Chatbot

2. Install Requirements

pip install -r requirements.txt

3. Get HuggingFace Token

• Go to https://huggingface.co/settings/tokens
• Create a free account and generate token

4. Run the Notebook

• Open Pharma_Chatbot.ipynb in Jupyter
• Add your HuggingFace token in Cell 3
• Run all cells in order

🚀 How It Works

1. PDF is loaded and split into chunks
2. Chunks are converted to embeddings using Sentence Transformers
3. Embeddings stored in FAISS vector database
4. User question is searched in vector database
5. Relevant context sent to Mistral-7B LLM
6. Answer displayed in Gradio UI

💬 Example Questions

• What is bioavailability?
• Define enteric coating
• What is pharmacokinetics?
• Explain drug absorption

👤 Author

• GitHub: @mahesh14-cpu