AI Chat Interface for Querying Google Sheets

This workflow creates a conversational chat interface to query data from a Google Sheet without loading the entire dataset into the AI model. It uses n8n's built-in chat trigger (adaptable to Slack, Teams, etc.) connected to an AI agent that calls a sub-workflow with three custom tools: listing sheet columns, retrieving all values from a single column, or fetching a single row's data. This approach handles large sheets efficiently by avoiding context window limits in models like GPT-4.

Key benefits include time-saving data analysis, no need for SQL or complex filters, and seamless integration requiring only an OpenAI API key and Google Sheets credentials. It's ideal for finance teams analyzing reports, sales tracking expenses, or any data-heavy operations where quick insights are needed.

Use cases: Ask 'What's the total sales in Q1?' or 'Show expenses for client X'—the agent combines tools to provide accurate responses. Requires n8n 1.19.4+. Modify for other messaging apps to build intelligent assistants for your data sources.