Urology Q&A Chatbot: RAG with Pinecone & GPT-4o

This n8n workflow creates a sophisticated Medical Q&A Chatbot specialized in Urology, leveraging Retrieval-Augmented Generation (RAG) with Pinecone for vector storage and GPT-4o for intelligent responses. It processes user queries via a chat trigger, retrieves relevant domain-specific documents from Pinecone, and generates context-aware, verified answers while maintaining conversation memory.

Key components include the chatTrigger for incoming messages, Medical AI Agent for GPT-driven processing, RAG Tool Vector Store for semantic search, Memory Buffer for context retention, and a node to create embeddings from Urology documents. This setup ensures responses are grounded in reliable medical knowledge, reducing hallucinations common in standard LLMs.

Benefits include time-saving automation for clinics, educational sites, or consultants handling repetitive Urology queries (e.g., conditions, treatments). It enhances user engagement with conversational flow and scales easily. Use cases: Deploy on websites, Telegram bots, or internal tools for patient triage, info desks, or telehealth support.

Setup is straightforward: Configure OpenAI and Pinecone credentials, embed your documents, tweak the system prompt, and activate. Customize for other medical domains by swapping knowledge bases, making it versatile for healthcare automation.