Who is this for?
Who is this for? This workflow is designed for anyone who wants to automate AI-driven chat responses integrated with Google Docs and Google Sheets, using the Google Gemini (PaLM) language model via n8n. It’s perfect for teams looking to: Automatically generate AI replies to chat messages, Pull content dynamically from Google Docs, What this Workflow Does Receives chat messages via a webhook trigger. Sends the chat input to the Google Gemini AI Chat Model for generating replies. Optionally retrieves a document from Google Docs if a URL or ID is provided. Uses an AI agent node to coordinate between the AI model and tools like Google Docs. Key Features Integration with Google Gemini (PaLM) AI for natural language understanding and response generation. Ability to fetch and use data from Google Docs dynamically. Modular structure using n8n nodes for flexibility and easy customization. Credential management for Google APIs (Docs, Gemini) via n8n’s built-in credential system. Get Your Google AI API Key Visit Google AI Studio. Click "Create API key in new project". Copy the API key that appears. Add Your Credential in n8n On the workflow canvas, go to the Connect your model (Google Gemini) node. Click the Credential dropdown and select + Create New Credential. Paste your API key into the API Key field. Click Save. Start Chatting! Go to the Example Chat node. Click the "Open Chat" button in its parameter panel. Try asking it one of the example questions: "What's your name?" "What time now in bangladesh?" "What's the weather in bangladesh?" You're now ready to chat with your personal AI agent powered by Google Gemini! 🎉 Requirements n8n instance with internet access. Google Cloud account with: Access to PaLM API (Google Gemini). Proper OAuth2 credentials configured in n8n for Google APIs. 🙋 For Help & Community 👾 Discord: n8n channel 🌐 Website: devcodejourney.com 🔗 LinkedIn: Connect with Shakil 📱 WhatsApp Channel: Join Now 💬 Direct Chat: Message Now. An n8n automation workflow template by DevCode Journey.
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