Block 1 - Sticky Note1
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
This workflow is provided as-is. Please review and test before using in production.
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 y...
n8n-nodes-base.stickynote, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.chattrigger, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memorybufferwindow, n8n-nodes-base.notiontool
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Gegenfeld.
Original n8n.io sourceThis 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.
This template is perfect for:
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.
Add your credentials:
Configure your Notion connection:
Customize the AI model:
Test the chatbot:
Optional - Make it public:
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.
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.
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.
| Workflow | Create a knowledge base chatbot with OpenAI and Notion for website embedding |
|---|---|
| Complexity | intermediate |
| Nodes | 9 |
| Categories | Support Chatbot, AI RAG |
| Author | Gegenfeld |
| Published | 26 Jul 2025 |
Use the JSON export at /data/workflows/6500/6500.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
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.
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 y...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
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.