Manual Gemini AI Response Generation with Structured Output

Leverage n8n's manual Gemini AI integration to instantly generate structured responses, ensuring consistent data extraction and boosting automation productivity.

Manual Trigger

Complex Trigger

This n8n workflow provides a foundational setup for interacting with Google's Gemini AI model. Initiated manually, it sends a query to the `models/gemini-1.5-flash` chat model, leveraging its conversational capabilities. Following the AI's response, the workflow employs a structured parser to extract and format the output into a predefined structure. This allows for consistent data handling from the AI's potentially free-form text. Ideal for testing specific prompts, developing AI-driven data extraction, or generating structured content, this workflow serves as a robust starting point for integrating advanced AI responses into automated processes, ensuring the output is ready for subsequent steps in any automation.