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Build a Facebook Messenger customer service AI chatbot with Google Gemini

🤖 Build a customer service AI chatbot for Facebook Messenger with Google Gemini

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Open / InstallLast updated July 27, 2026

Description

🤖 Build a customer service AI chatbot for Facebook Messenger with Google Gemini 📌 Overview A streamlined Facebook Messenger chatbot powered by AI with conversation memory. This is a simplified version designed for quick deployment, learning, and testing — not suitable for production environments. Base workflows: Smart message batching AI-powered Facebook Messenger chatbot use Data Table Smart human takeover & auto pause AI-powered Facebook Messenger chatbot 🎯 What This Workflow Does ✅ Core Features: Receives messages from Facebook Messenger via webhook Processes user messages with Google Gemini AI Maintains conversation context using Simple Memory node Automatically responds with AI-generated replies Handles webhook verification for Facebook setup Send image or video to customer through Facebook Messenger 🔹 Simplified Approach: Memory**: Simple Memory node (10-message window) Format**: Cleans text, strips markdown, truncates >1900 chars Response**: Single message delivery ⚠️ Limitations & Trade-offs: No Smart Batching → fragmented user messages cause spam-like replies No Human Takeover Detection → bot continues even when admin joins Basic Memory Management → no persistence, not reliable in production Basic Text Formatting → strips markdown, truncates brutally, no smart splitting 🚀 When to Upgrade Upgrade to full workflows when you need: Production deployment with reliability & persistence Analytics & tracking (query history, reports) Professional formatting (bold, italic, lists, code blocks) Handling long messages (>2000 chars) Smart batching for fragmented inputs Human handoff detection Full conversation persistence Key upgrades available: Smart message batching workflow Smart human takeover workflow ⚙️ Setup Requirements Facebook Setup Create Facebook App at developers.facebook.com Add Messenger product Configure webhook: URL: https://your-domain.com/webhook/your-path Verify token: secure string Subscribe to: messages, messaging_postbacks Generate Page Access Token Copy token to "Set Context" node n8n Setup Import workflow Edit "Set Context" node → update page_access_token Configure "Gemini Flash" node credentials Deploy workflow (must be publicly accessible) 🔄 How It Works User Message → Facebook Webhook → Validation ↓ Set Context (extract user_id, message, token) ↓ Mark Seen → Show Typing ↓ AI Agent (Gemini + 10-message memory) ↓ Format Output (remove markdown, truncate) ↓ Send Response via Facebook API 🏗️ Architecture Overview Section 1: Webhook & Initial Processing Facebook Webhook: handles GET (verification) & POST (messages) Confirm Webhook: returns challenge / acknowledges receipt Filters text messages only Blocks echo messages from bot itself Section 2: AI Processing with Memory Set Context: extracts user_id, message, token Seen & Typing: user feedback Conversation Memory: 10-message window, per-user isolation Process Merged Message: AI Agent with Jenix persona Gemini Flash: Google’s AI model for response generation Section 3: Format & Delivery Cuts replies >2000 chars, strips markdown Sends text via Facebook Graph API 🎨 Customisation Guide Bot Personality**: edit system prompt in "Process Merged Message" node Memory**: adjust contextWindowLength (default 10), change sessionKey if needed AI Model**: replace Gemini Flash with OpenAI, Anthropic Claude, or other LLMs 📌 Important Notes ⚠️ Production Warning: testing only, memory lost on n8n restart in queue mode 📊 No Analytics: no history storage, no reporting 🔧 Format Limitations: responses ≤1800 chars, markdown stripped, no complex formatting 🛠️ Troubleshooting Bot not responding** → check token, webhook accessibility, event subscriptions Memory not working** → verify session key, ensure not in queue mode, restart workflow Messages truncated** → adjust system prompt for conciseness, reduce response length 📜 License & Credits Created by: Nguyễn Thiệu Toàn (Jay Nguyen) Email: me@nguyenthieutoan.com Website: nguyenthieutoan.com n8n Creator: n8n.io/creators/nguyenthieutoan Company: GenStaff. An n8n automation workflow template by Nguyễn Thiệu Toàn (Jay Nguyen).

Author

Nguyễn Thiệu Toàn (Jay Nguyen)

Platform

web

Pricing model

free

Categories

Automation
AI

Tags

n8n
workflow
http-request
code
ai-agent
simple-memory
structured-output-parser
google-gemini-chat-model

Capabilities

  • 6 nodes
  • 141 views