This n8n workflow creates an intelligent medical Q&A chatbot specialized in Urology and Andrology, utilizing retrieval-augmented generation (RAG) with Pinecone and GPT-4o. When a user sends a message, the system triggers a series of steps where the input is processed, relevant medical documents are retrieved from a vector database, and a friendly, accurate response is generated. The process involves multiple nodes including a webhook trigger for receiving messages, embeddings generation, vector search in Pinecone for relevant articles, and GPT-4 models for understanding and responding. This workflow is ideal for healthcare providers or medical platforms that want to offer instant, trustworthy Urology-related advice based on a curated knowledge base, enhancing patient engagement and support.
Urology AI Chatbot with Contextual Knowledge Retrieval
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.toolVectorStore, @n8n/n8n-nodes-langchain.vectorStorePinecone, stickyNote |
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