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Medical Q&A chatbot for urology using RAG with Pinecone and GPT-4o

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2/3/2026
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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.

Medical QA Chatbot for Urology using RAG with Pinecone and GPT-4o

This n8n workflow creates a sophisticated question-answering chatbot specifically designed for the urology domain. It leverages Retrieval Augmented Generation (RAG) by integrating an OpenAI Chat Model with a Pinecone Vector Store for contextual retrieval, enhanced by a conversational memory. The chatbot is triggered by incoming chat messages and uses an AI Agent to orchestrate the interaction, providing relevant and informed responses.

What it does

This workflow automates the process of answering urology-related questions by:

  1. Listening for Chat Messages: It starts by receiving incoming chat messages, acting as the user's interface.
  2. Maintaining Conversational Context: It utilizes a simple memory buffer to keep track of the conversation history, allowing for more natural and coherent interactions.
  3. Generating Embeddings: It uses OpenAI Embeddings to convert incoming queries into vector representations, which are crucial for searching the vector database.
  4. Retrieving Relevant Information: It queries a Pinecone Vector Store, which likely contains a knowledge base of urology-related documents, to retrieve the most relevant information based on the user's query embeddings. This acts as a "Vector Store Question Answer Tool" for the AI agent.
  5. Orchestrating the Response: An AI Agent, powered by an OpenAI Chat Model, takes the user's query, the conversation history, and the retrieved information from Pinecone to formulate a comprehensive and contextually appropriate answer.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running n8n instance.
  • OpenAI API Key: For the OpenAI Chat Model and Embeddings.
  • Pinecone Account and API Key: To access your Pinecone vector database.
  • A configured Pinecone Index: This index should contain your urology-specific knowledge base, with documents already embedded and stored.

Setup/Usage

  1. Import the Workflow: Download the provided JSON and import it into your n8n instance.
  2. Configure Credentials:
    • Set up your OpenAI credentials for both the "Embeddings OpenAI" and "OpenAI Chat Model" nodes.
    • Set up your Pinecone credentials for the "Pinecone Vector Store" node, including your API key, environment, and the name of your pre-existing urology index.
  3. Activate the Workflow: Once configured, activate the workflow.
  4. Send Chat Messages: The "When chat message received" trigger will listen for incoming chat messages from your configured chat platform (e.g., n8n's built-in chat UI, or an integrated chat service).
  5. Interact with the Chatbot: Send questions related to urology, and the chatbot will retrieve information and provide answers based on its knowledge base and conversational context.

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