Medical Q&A Chatbot for Urology using RAG with Pinecone and GPT-4o

This template provides an AI-powered Q&A assistant for the Urology domain using Retrieval-Augmented Generation (RAG). It uses Pinecone for vector search and GPT-4o for conversational responses.

🧠 Use Case

This chatbot is designed for clinics or medical pages that want to automate question answering for Urology-related conditions. It uses a vector store of domain knowledge to return verified responses.

🔧 Requirements

• ✅ OpenAI API key (GPT-4o or GPT-4o-mini)
• ✅ Pinecone account with an active index
• ✅ Verified Urology documents embedded into Pinecone

⚙️ Setup Instructions

1. Create a Pinecone vector index and connect it using the Pinecone credentials node.
2. Upload Urology-related documents to embed using the Create Embeddings for Urology Docs node.
3. Customize the chatbot system message to reflect your medical specialty.
4. Deploy this chatbot on your website or link it with Telegram via the chat trigger node.

🛠️ Components

• chatTrigger: Listens for user messages and starts the workflow.
• Medical AI Agent: GPT-based agent guided by domain-specific instructions.
• RAG Tool Vector Store: Fetches relevant documents from Pinecone using vector search.
• Memory Buffer: Maintains conversation context.
• Create Embeddings for Urology Docs: Encodes documents into vector format.

📝 Customization

You can replace the knowledge base with any other medical domain by:

• Updating the documents stored in Pinecone.
• Modifying the system prompt in the AI Agent node.

📣 CTA

This chatbot is ideal for clinics, medical consultants, or educational websites wanting a reliable AI assistant in Urology.