This advanced n8n workflow enables seamless, conversational interaction with Airtable databases using AI. It integrates OpenAI’s language models to process user requests, fetch data, perform analysis, and generate visualizations or maps. The workflow starts with a webhook trigger, allowing users to send chat messages that are then parsed and interpreted by an AI agent. This agent can dynamically query Airtable bases, retrieve schema and data, and execute filters or mathematical computations. It can also create maps with Mapbox URLs or process images and files, making data exploration intuitive and efficient. Practical use cases include customer support, data analysis, and geographic visualization, where users interact naturally with complex datasets without manual querying.

Node Count	>20 Nodes
Nodes Used	@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.toolCode, @n8n/n8n-nodes-langchain.toolWorkflow, aggregate, airtable, executeWorkflowTrigger, httpRequest, if, merge, set, stickyNote, switch