💬 Build a customer support agent with Grok-4, Google Docs, and Telegram [RAG]
⚡ 2,455 views · 💬 Support Chatbots
Description
🤖 Grok-4 Customer Support Agent with Document-Based Intelligence Template [RAG]
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
🔗 Nodes Used
Telegram, Telegram Trigger, AI Agent, Simple Memory, xAI Grok Chat Model
📥 Import
Download workflow.json and import into n8n:
Workflow menu → Import from File