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).
n8n Customer Support Chatbot with Groq AI
This n8n workflow demonstrates how to build a basic customer support chatbot using Groq AI as the language model. The chatbot is designed to respond to chat messages, leveraging an AI agent with a simple memory to maintain context within a conversation.
What it does
This workflow automates the following steps:
- Listens for Chat Messages: The workflow is triggered whenever a new chat message is received from a connected chat service (e.g., Slack, Telegram, Discord, etc., depending on the Chat Trigger's configuration).
- Initializes Simple Memory: A "Simple Memory" component is used to store and retrieve past conversation turns, allowing the AI agent to maintain context throughout the chat.
- Processes with AI Agent: An "AI Agent" node orchestrates the conversation. It takes the incoming chat message and the conversation history from the memory.
- Generates Response with Groq Chat Model: The AI Agent uses the "Groq Chat Model" as its underlying large language model (LLM) to generate a relevant and coherent response based on the input message and the conversation context.
- Updates Memory: After generating a response, the conversation turn (user message and AI response) is added back to the "Simple Memory" to update the conversation history for future interactions.
- Sends Chat Response: The generated response from the AI agent is sent back to the original chat service where the message originated.
Prerequisites/Requirements
To use this workflow, you will need:
- n8n Instance: A running instance of n8n.
- Groq API Key: An API key from Groq to access their chat models.
- Chat Service Integration: A configured n8n credential for the chat service you wish to integrate with (e.g., Slack, Telegram, Discord, etc.) that the "Chat Trigger" node will listen to and respond through.
Setup/Usage
- Import the Workflow: Download the provided JSON and import it into your n8n instance.
- Configure Credentials:
- Groq Chat Model: Configure your Groq API Key credential within the "Groq Chat Model" node.
- Chat Trigger: Configure the credential for your desired chat service (e.g., Slack, Telegram) in the "When chat message received" node.
- Activate the Workflow: Once configured, activate the workflow.
- Test: Send a message to your configured chat service, and the chatbot should respond.
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