Webhook-Triggered Conversational AI Chatbot with Memory
This n8n workflow establishes a robust, webhook-triggered conversational AI. It functions as a chatbot endpoint, receiving incoming requests via a webhook. The workflow critically leverages the 'Window Buffer Memory' node to maintain context and history for ongoing conversations, ensuring the AI remembers previous interactions within a session. The core intelligence is provided by the 'Chat OpenAI' node, which processes user input and generates natural language responses using a large language model. Finally, the 'Respond to Webhook' node sends the AI's generated reply back to the originating system or user. This setup is ideal for building interactive chatbots, customer support agents, or intelligent assistants that require persistent memory across multiple user turns, enabling dynamic and context-aware dialogues for various applications.
Harness the power of n8n's webhook-triggered AI chatbot to deliver dynamic, context-aware conversations, boosting customer engagement and support efficiency.
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How to Use This Workflow
Download the Workflow
Click the "Download Workflow" button above to get the JSON file.
Import to n8n
In your n8n instance, go to Workflows → Import and select the JSON file.
Configure Credentials
Set up your Memory Buffer and other service credentials in n8n.
Activate & Test
Activate the workflow and test it to ensure everything works correctly.
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