Telegram-Kundenfragen mit Grok-4 und Docs beantworten

🤖 Grok-4 Customer Support Agent with Document-Based Intelligence Template Description: This workflow creates a smart, AI-powered customer support agent using Grok-4 that can answer questions based on a preloaded Google Doc knowledge base. It listens for incoming customer queries via Telegram, then uses Grok-4’s language reasoning + memory features to generate helpful responses pulled directly from the doc. Watch the Step-by-Step Tutorial of this Workflow: https://www.youtube.com/watch?v=OXzsh-Ba-8Y&t=2s It’s perfect for solopreneurs, startups, or businesses that want to: Automate first-level support Build a Telegram-based knowledge agent Answer FAQs using internal docs (like manuals, policies, product details) 🔍 How It Works: Telegram Trigger – Listens for incoming messages from users Google Docs Tool – Retrieves a specified doc to serve as the knowledge base Grok-4 AI Agent – Uses xAI’s latest LLM with built-in memory and the document as a tool Memory Buffer – Keeps track of ongoing context in the conversation Telegram Reply – Sends the final response back to the customer 🧠 Tools & Integrations Used: xAI Grok-4 Model (via Langchain-compatible node) Google Docs Tool (as a reference knowledge base) Telegram Bot API (chat interface) n8n Agent Framework (for chaining memory, model, and tools) 💡 Use Cases: AI-powered FAQ assistant for your product Internal HR bot answering company policy questions Support assistant trained on onboarding documents or technical manuals Private support bot for VIP groups on Telegram