Automated data retrieval and analysis from Airtable using AI agents

• Retrieve order records and product details from Airtable effortlessly.
• Execute mathematical functions to analyze data, such as calculating averages and totals.
• Generate visual representations of data, such as maps and graphs, based on user queries.
• Facilitate tailored searches with specific parameters or filters to refine results.

User sends a chat message to the AI agent. The AI agent processes the request and determines the necessary actions. Relevant tools are executed to fetch or manipulate data from Airtable. Results are aggregated and returned to the user in a conversational format. The workflow retains context to allow for follow-up questions and interactions.

1. 1
   Import the workflow template into your n8n instance.
2. 2
   Replace the OpenAI and Airtable connection credentials in the respective nodes.
3. 3
   Test the chat trigger to ensure it receives messages correctly.
4. 4
   Initiate a chat session and start querying your Airtable data.