Automate AI Workflow Evaluation for Historical Event Analysis
This workflow evaluates AI-generated responses to historical event questions by comparing them with reference answers, ensuring accuracy and reliability.
This workflow leverages n8n's evaluation feature to assess the correctness of AI-generated answers to questions about historical events. It uses a test dataset from Google Sheets and OpenAI's GPT-4o-mini model to calculate a correctness metric. By comparing AI outputs with reference answers, it determines the semantic similarity and factual accuracy of the responses. The workflow is designed to run evaluations only when triggered, optimizing resource usage and cost.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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