This workflow creates an AI-powered support system capable of troubleshooting and guiding users through a wide range of household and technical devices. Starting from a webhook that receives user inquiries, it employs advanced language models to interpret queries. It retrieves relevant device manuals from a vector database (like Pinecone) using embeddings, and provides step-by-step troubleshooting, setup, or maintenance instructions. Users can also upload new manuals via a manual trigger, keeping the knowledge base updated. Ideal for customer support, technical assistance, or self-service portals, this workflow offers quick, accurate, and multilingual responses in less than three seconds.

Node Count	11 – 20 Nodes
Nodes Used	@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.documentDefaultDataLoader, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStorePinecone, manualTrigger, respondToWebhook, set, stickyNote, webhook