Evaluate AI Agent Response Relevance using OpenAI and Cosine Similarity

Say goodbye to vague AI answers!

This automation evaluates your Q&A agent's performance by checking if its responses truly answer the original questions — using AI to reverse-engineer the answer and cosine similarity to score relevance. It’s a smart way to detect off-topic, overstuffed, or hallucinated replies.

Whether you're building chatbots, customer support agents, or internal Q&A tools, this workflow helps you measure precision and improve accuracy.

What it does:

❓ Analyzes your agent’s response and generates a reverse question using AI
🔁 Compares the generated question to the original using cosine similarity
📊 Scores the relevance and alignment of the answer
🚨 Flags low-scoring responses for further inspection
📁 Logs results to Google Sheets for QA and iteration

✅ Setup guide & sample scoring sheet included

Need help setting it up? We offer full configuration, prompt tuning, and evaluation workflow design for your AI agents.