Build a customer support agent with Grok-4, Google Docs, and Telegram [RAG]

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

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 p...

Best for

Support Chatbot automation workflows
AI RAG automation workflows
intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.telegramtrigger, @n8n/n8n-nodes-langchain.lmchatxaigrok, @n8n/n8n-nodes-langchain.memorybufferwindow, n8n-nodes-base.googledocstool, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.telegram, n8n-nodes-base.stickynote

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Automate With Marc.

Original n8n.io source

1.1 Workflow description

Title: Build a customer support agent with Grok-4, Google Docs, and Telegram [RAG]
Workflow name: Build a customer support agent with Grok-4, Google Docs, and Telegram [RAG]

🤖 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

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Telegram Trigger

Type / Role: n8n-nodes-base.telegramTrigger - telegramTrigger
Config choices: Version 1.2

Block 2 - xAI Grok Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatXAiGrok - lmChatXAiGrok
Config choices: Version 1

Block 3 - Simple Memory

Type / Role: @n8n/n8n-nodes-langchain.memoryBufferWindow - memoryBufferWindow
Config choices: Version 1.3

Block 4 - Google Docs

Type / Role: n8n-nodes-base.googleDocsTool - googleDocsTool
Config choices: Version 2

Block 5 - Grok 4 Customer Support Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 2

Block 6 - Telegram

Type / Role: n8n-nodes-base.telegram - telegram
Config choices: Version 1.2

Block 7 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 8 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 9 - Sticky Note2

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 10 - Sticky Note3

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

3. Summary Table

Workflow	Build a customer support agent with Grok-4, Google Docs, and Telegram [RAG]
Complexity	intermediate
Nodes	10
Categories	Support Chatbot, AI RAG
Author	Automate With Marc
Published	15 Jul 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/6017/6017.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Support Chatbot workflows AI RAG workflows

Frequently asked questions

What does Build a customer support agent with Grok-4, Google Docs, and Telegram [RAG] do?

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 p...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Support Chatbot, AI RAG use case.

Automate With Marc

50 workflows

Nodes

n8n-nodes-base.telegramtrigger @n8n/n8n-nodes-langchain.lmchatxaigrok @n8n/n8n-nodes-langchain.memorybufferwindow n8n-nodes-base.googledocstool @n8n/n8n-nodes-langchain.agent n8n-nodes-base.telegram n8n-nodes-base.stickynote

Complexity

intermediate

Published 15 Jul 2025

Likes 0

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Install path: /data/workflows/6017/6017.json

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Build a customer support agent with Grok-4, Google Docs, and Telegram [RAG]

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Telegram Trigger

Block 2 - xAI Grok Chat Model

Block 3 - Simple Memory

Block 4 - Google Docs

Block 5 - Grok 4 Customer Support Agent

Block 6 - Telegram

Block 7 - Sticky Note

Block 8 - Sticky Note1

Block 9 - Sticky Note2

Block 10 - Sticky Note3

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions