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Create a knowledge base chatbot with OpenAI and Notion for website embedding

GegenfeldGegenfeld
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2/3/2026
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This workflow creates an AI chatbot that uses your Notion database as a knowledge base and allows for website embedding (e.g., as a customer support chatbot). The AI agent can automatically query your Notion pages and databases to provide accurate, contextual responses based on your stored content.

AI Chatbot Notion Database Integration n8n workflow website embed.jpg

Who's it for

This template is perfect for:

  • Support teams who maintain their knowledge base in Notion
  • Content creators and teams managing documentation in Notion databases
  • Businesses looking to make their Notion workspace conversationally accessible
  • Anyone who wants to turn their Notion content into an interactive AI assistant

How it works

The workflow combines OpenAI's language model with Notion's database capabilities to create a smart chatbot. When users ask questions, the AI agent automatically determines which Notion pages or database entries are relevant and uses that content to generate helpful responses. The system maintains conversation history for natural, contextual interactions.

How to set up

  1. Add your credentials:

    • Configure your Notion API integration in the Set & Get Notion Database node
    • Set up your OpenAI API credentials in the OpenAI Chat Model node

  2. Configure your Notion connection:

    • Click the Set & Get Notion Database node
    • Select your Notion database or page containing your knowledge base content
    • The AI will automatically determine relevant pages - no need to specify individual page IDs

  3. Customize the AI model:

    • Open the OpenAI Chat Model node
    • Choose your preferred model (GPT-4, GPT-3.5-turbo, etc.)
    • Adjust token limits if needed

  4. Test the chatbot:

    • Click the Chat button to start a conversation
    • Ask questions related to your Notion content

  5. Optional - Make it public:

    • Enable public access in the Chat Trigger node
    • Embed the provided code into your website

Requirements

  • n8n instance (cloud or self-hosted)
  • Notion workspace with databases or pages you want to query
  • OpenAI API key with available credits
  • Notion API integration with proper permissions

How to customize the workflow

Change the AI Provider: You can replace the OpenAI Chat Model with other providers like Anthropic Claude, Google Gemini, or local models by swapping the language model node.

Adjust Context Window: Modify the "Remember Chat History" node to increase or decrease how many previous messages the AI remembers (default is 10 interactions).

Update System Instructions: Edit the Smart AI Agent's system message to change how the assistant behaves or add specific instructions for your use case.

Connect Multiple Databases: Add additional Notion Database nodes to give the AI access to multiple databases or pages within your workspace.

Add More Tools: Extend the AI agent with additional tools like web search, email sending, or integration with other services.

Workflow Structure

Chat Trigger → Smart AI Agent ← OpenAI Chat Model
                     ↓
         Set & Get Notion Database
                     ↑
           Remember Chat History

The Smart AI Agent orchestrates the conversation, deciding when to query Notion and how to use the retrieved content in responses. The memory buffer ensures natural conversation flow by maintaining context across interactions.

n8n AI Chatbot Workflow

This n8n workflow demonstrates a basic AI chatbot implementation using LangChain nodes, designed to receive chat messages, process them with an AI agent, and maintain a simple memory of the conversation.

What it does

This workflow simplifies the creation of an AI-powered conversational agent by:

  1. Listening for Chat Messages: It triggers whenever a new chat message is received.
  2. Processing with an AI Agent: It uses an OpenAI Chat Model to process the incoming messages and generate responses.
  3. Maintaining Simple Memory: It incorporates a basic memory buffer to keep track of recent conversational turns, allowing the AI to have context.

Prerequisites/Requirements

  • n8n Instance: A running n8n instance.
  • OpenAI API Key: An API key from OpenAI to use their chat models. This will need to be configured as a credential in n8n.
  • LangChain Nodes: Ensure the @n8n/n8n-nodes-langchain package is installed and enabled in your n8n instance.

Setup/Usage

  1. Import the Workflow: Import the provided JSON into your n8n instance.
  2. Configure Credentials:
    • Locate the "OpenAI Chat Model" node.
    • Configure the OpenAI API Key credential within this node.
  3. Activate the Workflow: Once configured, activate the workflow.
  4. Send Chat Messages: The "When chat message received" trigger will now listen for incoming chat messages. You can interact with this trigger through n8n's chat interface or by integrating it with other chat platforms (e.g., Slack, Telegram) using additional nodes.

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