Evaluations Metric: Answer Similarity

Say goodbye to fact-checking fatigue!

This automation evaluates fact-based AI answers using embeddings and cosine similarity — making it easy to detect hallucinations or deviations from expected answers. It’s perfect for assessing accuracy in close-ended or knowledge-based questions.

Whether you're building AI for support, trivia, compliance, or structured Q&A, this tool ensures your answers stay precise and reliable.

What it does:

📌 Compares AI responses to ground truth using embedding vectors
📐 Calculates cosine similarity for objective, numeric scoring
📊 Flags low-scoring answers as potentially inaccurate or hallucinated
📁 Logs results to Google Sheets for easy tracking and review
🔍 Ideal for binary, fact-based, or closed-answer evaluation

✅ Setup guide & sample evaluation sheet included

Need help setting it up? We offer complete embedding configuration, prompt QA, and accuracy optimization services for your AI workflows.