AI-Powered Answer Similarity Evaluation Workflow

This n8n workflow automates the process of evaluating how similar an AI-generated answer is to a predetermined ground truth, providing a quality check mechanism for AI responses. It involves fetching data from Google Sheets, generating embeddings via OpenAI’s API, and calculating cosine similarity scores to measure response consistency. The workflow is triggered by dataset updates, making it ideal for quality assurance in AI chatbot or FAQ systems. It allows users to maintain high answer accuracy and detect potential model hallucination or drift, ensuring reliable responses in automated systems and customer support environments.