Automated Workflow Evaluation: Ensuring Answer Meaning Accuracy
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This n8n workflow template automates the evaluation of AI-generated answers by comparing their meaning to expected outputs. It's designed to measure the factual accuracy and semantic similarity of responses against a ground truth dataset, ensuring reliable and consistent AI performance.
About This Workflow
This n8n workflow template provides a robust solution for evaluating the quality of AI-generated responses, specifically focusing on whether the meaning of an answer matches the intended or expected output. By leveraging AI models, it systematically compares user-generated questions about historical events with a curated dataset of reference answers. The workflow reads questions from a Google Sheet, processes them through an AI agent, and then utilizes a sophisticated AI model to calculate a correctness metric. This metric assesses the semantic equivalence between the generated answer and the ground truth, providing a detailed analysis and a numerical score from 1 to 5. This ensures that your AI applications not only provide answers but also that those answers are factually accurate and semantically aligned with your expectations.
Key Features
- Meaning-Based Answer Comparison: Accurately assesses if the generated answer conveys the same meaning as the expected output, going beyond simple keyword matching.
- Automated Metric Calculation: Utilizes AI models to score the correctness of answers on a scale of 1 to 5, with detailed reasoning provided.
- Dataset Integration: Seamlessly integrates with Google Sheets for reading questions and reference answers, facilitating easy data management.
- Configurable AI Agent: Allows for customization of AI agent behavior with system messages for concise and specific responses.
- Detailed Evaluation Reporting: Outputs extended reasoning and a summary of key differences for each evaluation, aiding in understanding AI performance.
How To Use
- Import the Workflow: Load this template into your n8n instance.
- Configure Google Sheets Credentials: Set up and authenticate your Google Sheets OAuth2 credentials in n8n to allow access to your dataset.
- Connect OpenAI Credentials: Configure your OpenAI API key within n8n for accessing AI models.
- Point to Your Dataset: In the 'When fetching a dataset row' node, update the
sheetNameanddocumentIdparameters to point to your specific Google Sheet containing questions and expected answers. - Define AI Agent Prompt: Customize the
systemMessagein the 'AI Agent' node to guide the AI's response style (e.g., 'Be very concise'). - Review Evaluation Model: Examine the system prompt and parameters in the 'Calculate correctness metric' node. Adjust the scoring criteria or output format if needed.
- Run the Workflow: Trigger the workflow manually or set up a schedule to continuously evaluate new data.
Apps Used
Workflow JSON
{
"id": "b390de73-d9c3-4cd0-b876-d76b86f716f3",
"name": "Automated Workflow Evaluation: Ensuring Answer Meaning Accuracy",
"nodes": 20,
"category": "DevOps",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: b390de73-d9c3...
About the Author
Crypto_Watcher
Web3 Developer
Automated trading bots and blockchain monitoring workflows.
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