AI-Powered Google Sheets Data Query via PostgreSQL Integration

Overview

This workflow automates the process of querying Google Sheets CSV data through an AI agent, leveraging PostgreSQL for structured data management. It integrates Google Drive triggers, Google Sheets, AI language models, and PostgreSQL to streamline data analysis and reporting.

Key Features

• Google Drive Trigger: Automatically detects new or updated CSV files in Google Drive.
• Google Sheets Integration: Fetches and processes sheet data for further analysis.
• AI Agent (Google Gemini): Uses an advanced language model to interpret and generate SQL queries based on user intent.
• PostgreSQL Automation: Creates tables, inserts data, and executes queries dynamically.
• Conditional Logic: Checks if tables exist and manages schema updates as needed.

Benefits

• Time Savings: Eliminates manual data import and query writing, accelerating analytics workflows.
• Accuracy: Reduces human error by automating data handling and query generation.
• Scalability: Easily adapts to new data sources or schema changes with minimal intervention.

Use Cases

• Automated reporting and dashboard updates from Google Sheets data.
• AI-driven data exploration for business analytics teams.
• Seamless integration of spreadsheet data into enterprise databases for unified analysis.