This workflow integrates a chatbot frontend with a backend powered by Langflow , a visual low-code AI development tool. The flow is triggered whenever a chat message is received via the n8n chatbot widget embedded on a website. It then sends the message to a Langflow flow for processing and returns the generated response to the user.

When chat message received) that listens for incoming chat messages from the n8n Chat interface.Langflow node). The request includes the user's message and expects a response from the Langflow flow.Edit Fields node, ensuring the chatbot displays the response correctly.Configure Langflow Connection :
LANGFLOW_URL and FLOW_ID in the HTTP request node with your Langflow instance details.Content-Type: application/json) and authentication (if required) are correctly set.Deploy n8n Chat :
YOUR_PRODUCTION_WEBHOOK_URL with the webhook URL generated by the When chat message received node.Activate Workflow :
✅ Seamless Langflow Integration
It allows n8n to communicate directly with a Langflow flow via API, enabling AI responses using custom-designed Langflow logic.
✅ No-Code Chatbot Deployment
With just a script snippet, the chatbot widget can be embedded into any website. Minimal coding is required to launch a fully functioning AI chatbot.
✅ Customizable UI/UX
The included embed code offers full control over the chatbot's appearance, language, welcome message, input placeholder, and branding—ideal for white-label or customer-facing deployments.
✅ Modular and Extensible
Because it's built in n8n, this chatbot can be easily extended with other services like CRMs, email alerts, or databases, without leaving the platform.
✅ Real-Time AI Interactions
Thanks to Langflow's API and chat response support, users get immediate and dynamic AI-driven replies.
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