This n8n workflow creates an intelligent chatbot that interacts with users through a webhook trigger, leveraging OpenAI’s language models for responses. It maintains conversation history in a memory buffer to enable context-aware interactions. The workflow includes a smart AI agent that processes user inputs, integrates chat history for context, and finally stores relevant data into a Baserow database for tracking or further analysis. This setup is ideal for building AI chatbots, virtual assistants, or customer support bots that require persistent context and data storage.

Node Count	6 – 10 Nodes
Nodes Used	@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, baserowTool, stickyNote