This n8n workflow creates an intelligent AI chatbot designed to handle customer support for a website using Langchain, OpenAI, and Google Drive integrations. The workflow starts with a webhook trigger that activates when a chat message is received, allowing the AI to respond intelligently based on context, memory, and document processing. The AI agent is configured with a detailed system message, enabling it to provide professional, friendly, and multilingual support while managing user memories via Airtable. Additionally, the workflow incorporates document retrieval from Google Drive, vector-based knowledge searches with Pinecone, and language models like GPT-4 or OpenRouter for generating insightful answers. This setup is ideal for automating real-time customer service, FAQs, scheduling, and personalized assistance, enhancing user engagement and operational efficiency.
AI-Powered Customer Support Chatbot Workflow
| Node Count | >20 Nodes |
|---|---|
| Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.documentDefaultDataLoader, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.lmChatOpenRouter, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, @n8n/n8n-nodes-langchain.vectorStorePinecone, aggregate, airtable, airtableTool, googleDrive, manualTrigger, merge, splitInBatches, stickyNote |
Be the first to review “AI-Powered Customer Support Chatbot Workflow”
Reviews
There are no reviews yet.