This workflow demonstrates how to build an AI-powered chat agent in n8n that interacts with users via a web chat interface. It can fetch live weather updates, news headlines, and perform actions such as sending emails or accessing calendars, making it a powerful tool for automation and customer engagement. The setup includes nodes for initiating conversations, integrating with Google Gemini (or other language models), and utilizing tools for real-time data retrieval from sources like weather APIs and RSS feeds. This workflow is ideal for creating responsive AI chatbots for websites that need to provide visitors with dynamic, up-to-date information and automate routine tasks.
Create An Interactive AI Chatbot with Live Data Access
| Node Count | 11 – 20 Nodes |
|---|---|
| Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, @n8n/n8n-nodes-langchain.memoryBufferWindow, httpRequestTool, rssFeedReadTool, stickyNote |
Be the first to review “Create An Interactive AI Chatbot with Live Data Access”
Reviews
There are no reviews yet.