Build a website customer support chatbot with Groq AI and Google Sheets knowledge base

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Important notice

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

1. Workflow Overview

Build a Website Customer Support Chatbot with Groq AI and Google Sheets as its Knowledge Base. Setup Instructions Prerequisites 1. API Credentials Required: Groq API credentials You'll need a valid...

Best for

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

Tools used

@n8n/n8n-nodes-langchain.chattrigger, @n8n/n8n-nodes-langchain.memorybufferwindow, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.stickynote, @n8n/n8n-nodes-langchain.lmchatgroq, n8n-nodes-base.googlesheetstool

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title: Build a website customer support chatbot with Groq AI and Google Sheets knowledge base
Workflow name: Build a website customer support chatbot with Groq AI and Google Sheets knowledge base

Build a Website Customer Support Chatbot with Groq AI and Google Sheets as its Knowledge Base.

Setup Instructions

Prerequisites

API Credentials Required:
- Groq API credentials - You'll need a valid API key from Groq
- Google Sheets credentials - OAuth authentication required to access your knowledge base sheets

Step-by-Step Setup

Add Required Credentials:
- Click on the Credentials menu and add your Groq API credentials
- Set up Google OAuth credentials for Google Sheets access
Configure the Groq Chat Model:
- Click on the "Groq Chat Model" node
- Select your preferred Groq model (e.g., Llama-3-70b or Mixtral-8x7b)
- Set token limits and other parameters as needed
Set Up Your Knowledge Base:
- Create a Google Sheet with your support information (example structure below)
- Note the Google Sheet ID from the URL
Configure the Google Sheets Node:
- Click on the "Google Sheets" node
- Select your document ID from the dropdown
- Select the specific sheet name containing your knowledge base
Customize the AI Agent:
- Modify the system message to match your brand's tone and support style
- Adjust the context window length in the "Chat History" node based on your needs
Test the Chatbot:
- Click the "Chat" button to test with sample customer questions
- Verify the AI retrieves correct information from your knowledge base
Deploy to Your Website:
- Click "Make Public" to generate an embed code
- Add the embed code to your website HTML

Knowledge Base Structure Example

Your Google Sheet should be structured with clear headers and organized data. Example format:

Question	Answer	Category	Keywords
How do I reset my password?	To reset your password, click the "Forgot Password" link on the login page and follow the instructions sent to your email.	Account	password, reset, forgot, login
What are your shipping rates?	Standard shipping is $5.99. Express shipping is $12.99. Orders over $50 qualify for free standard shipping.	Shipping	rates, costs, delivery, free shipping
How do I return an item?	Returns can be initiated within 30 days of purchase by logging into your account and selecting "Start a Return" in your order history.	Returns	return policy, exchange, refund

Each row should contain a complete customer query and response pair, with optional categorization and keywords to help the AI find relevant information quickly.

Website Embedding

You can use and replace the placeholders in the following code: View on Codepen (external link)

Put the customized Code inside your website's head element (before the </head> tag).

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 - When chat message received

Type / Role: @n8n/n8n-nodes-langchain.chatTrigger - chatTrigger
Config choices: Version 1.1

Block 2 - Chat History

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

Block 3 - AI Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 1.7

Block 4 - Sticky Note1

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

Block 5 - Sticky Note2

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

Block 6 - Sticky Note3

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

Block 7 - Sticky Note

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

Block 8 - Choose your prefered LLM

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

Block 9 - Select your Knowledge Base

Type / Role: n8n-nodes-base.googleSheetsTool - googleSheetsTool
Config choices: Version 4.5

3. Summary Table

Workflow	Build a website customer support chatbot with Groq AI and Google Sheets knowledge base
Complexity	intermediate
Nodes	9
Categories	Support Chatbot, AI Chatbot
Author	Gegenfeld
Published	30 Mar 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/3364/3364.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 Chatbot workflows

Frequently asked questions

What does Build a website customer support chatbot with Groq AI and Google Sheets knowledge base do?

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 Chatbot use case.

Gegenfeld

16 workflows

Nodes

@n8n/n8n-nodes-langchain.chattrigger @n8n/n8n-nodes-langchain.memorybufferwindow @n8n/n8n-nodes-langchain.agent n8n-nodes-base.stickynote @n8n/n8n-nodes-langchain.lmchatgroq n8n-nodes-base.googlesheetstool

Complexity

intermediate

Published 30 Mar 2025

Likes 0

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Install path: /data/workflows/3364/3364.json

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Build a website customer support chatbot with Groq AI and Google Sheets knowledge base

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Setup Instructions

Prerequisites

Step-by-Step Setup

Knowledge Base Structure Example

Website Embedding

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - When chat message received

Block 2 - Chat History

Block 3 - AI Agent

Block 4 - Sticky Note1

Block 5 - Sticky Note2

Block 6 - Sticky Note3

Block 7 - Sticky Note

Block 8 - Choose your prefered LLM

Block 9 - Select your Knowledge Base

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