Deploy AI-powered website chatbot with DeepSeek and custom branding
Who's it for
This template is perfect for business owners, developers, and marketers who want to add a professional, branded AI chatbot to their website. Whether you're running an e-commerce site, a SaaS platform, or a corporate website, this template gives you a fully customizable chat widget that integrates seamlessly with your brand.
How it works
The template creates a webhook endpoint that receives chat messages and processes them through an AI agent powered by DeepSeek. The workflow includes:
- Webhook endpoint that accepts POST requests from your website
- AI Agent that processes user messages and maintains conversation context
- Memory buffer that remembers conversation history for each user session
- Response formatting that sends AI replies back to your chat widget
The chat widget itself is a vanilla JavaScript component that you embed on your website. It features:
- Customizable colors, branding, and positioning
- Light/dark theme support
- Mobile-responsive design
- Local conversation history
- Session management with expiration
- WordPress plugin integration
How to set up
- Import the workflow into your n8n instance
- Configure your DeepSeek API credentials in the DeepSeek Chat Model node
- Activate the workflow to generate your webhook URL
- Copy the webhook URL from the Webhook node
- Embed the chat widget on your website using the provided JavaScript files
Requirements
- n8n instance (self-hosted or cloud)
- DeepSeek API account and API key
- Website where you want to embed the chatbot
- Basic HTML/JavaScript knowledge for customization
How to customize the workflow
AI Agent Configuration
- Modify the AI Agent prompt to change how the bot responds
- Adjust the memory buffer settings for conversation context
- Change the AI model parameters for different response styles
Webhook Customization
- Add authentication headers if needed
- Modify the response format to match your requirements
- Add additional processing nodes before the AI Agent
Chat Widget Styling
- Change
brandColorandaccentColorto match your brand - Customize the bot name, avatar, and welcome message
- Adjust positioning and launcher style
- Enable dark mode or HTML responses as needed
Advanced Features
- Add user authentication integration
- Implement rate limiting
- Connect to your CRM or support system
- Add analytics and tracking
Template Features
✅ No hardcoded API keys - uses n8n credential system
✅ Sticky notes included - explains the entire workflow
✅ Professional branding - fully customizable appearance
✅ WordPress ready - includes plugin and shortcode support
✅ Mobile responsive - works on all devices
✅ Session management - remembers conversations per user
Use Cases
- Customer Support: Provide instant AI-powered assistance
- Lead Generation: Engage visitors and collect contact information
- Product Guidance: Help customers find the right products/services
- FAQ Automation: Answer common questions automatically
- Booking Assistant: Help with appointments and reservations
- E-commerce Support: Guide customers through purchases
Technical Details
The workflow uses the LangChain AI Agent with DeepSeek as the language model and includes a Memory Buffer for conversation context. The webhook response format is optimized for the chat widget.
Live Demo
Try it online: Live Demo
Experience the chatbox widget in action with a working n8n webhook integration. The demo showcases all features including light/dark themes, HTML responses, and session management.
Note: This template includes a complete JavaScript chat widget and WordPress plugin, making it ready for immediate use on any website. The workflow is designed to be production-ready with proper error handling and security considerations.
n8n AI-Powered Website Chatbot with DeepSeek
This n8n workflow demonstrates how to build a basic AI-powered chatbot endpoint for a website using DeepSeek as the language model and LangChain's agent capabilities. It provides a simple API that accepts user input and responds with AI-generated text, maintaining conversation history.
What it does
This workflow automates the following steps:
- Listens for incoming HTTP requests: A Webhook node acts as the entry point for the chatbot, receiving user queries.
- Manages Conversation History: A "Simple Memory" node (LangChain Memory Buffer Window) maintains the conversation context for a more coherent interaction.
- Processes User Input with an AI Agent: An "AI Agent" node (LangChain Agent) orchestrates the interaction, potentially using tools (though no specific tools are configured in this basic example) and deciding on the best response strategy.
- Generates Responses using DeepSeek: A "DeepSeek Chat Model" node serves as the large language model, generating the actual chatbot responses based on the agent's prompt and conversation history.
- Responds to the Webhook: The "Respond to Webhook" node sends the AI-generated answer back to the client that initiated the request.
- Provides Documentation: A Sticky Note node provides a helpful reminder about the purpose of the workflow.
Prerequisites/Requirements
- n8n Instance: A running n8n instance to host and execute the workflow.
- DeepSeek API Key: An API key for the DeepSeek chat model. This will need to be configured as a credential in n8n for the "DeepSeek Chat Model" node.
- LangChain Nodes: Ensure the
@n8n/n8n-nodes-langchainpackage is installed in your n8n instance.
Setup/Usage
- Import the Workflow:
- Copy the provided JSON content.
- In your n8n instance, click "New" in the workflows list, then "Import from JSON".
- Paste the JSON and click "Import".
- Configure Credentials:
- Locate the "DeepSeek Chat Model" node.
- Click on the "Credential" field and select "Create New Credential".
- Choose "DeepSeek API" and enter your DeepSeek API Key.
- Save the credential.
- Activate the Webhook:
- Locate the "Webhook" node.
- Click "Webhook URL" to copy the URL. This is the endpoint your chatbot will use.
- Ensure the workflow is "Active" (toggle the switch in the top right corner of the n8n canvas).
- Test the Chatbot:
- You can test the webhook using a tool like Postman, Insomnia, or
curl. - Send a POST request to the copied Webhook URL with a JSON body containing your message, for example:
{ "message": "Hello, how are you today?" } - The workflow will process the message and return an AI-generated response.
- You can test the webhook using a tool like Postman, Insomnia, or
This setup provides a foundational chatbot that can be further extended with more complex logic, tools, and integrations.
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