Semantic

Semantic-based Evaluators use vector-based analysis to compare inputs against curated content collections. They are best for nuanced content analysis and classification.

Key Features:

• Robust to minor variations
• Context-aware analysis
• Training-free deployment

Example Use Cases: Brand voice consistency, professional communication standards