Overview

Evaluate logical flow and context maintenance in dialogues

Assess if conversations reach satisfactory conclusions

Perform rule-based evaluations with predictable outcomes

Screen content for safety and appropriateness

Verify responses stay within provided context

Evaluate if context is sufficient for queries

Verify comprehensive query addressing

Compare similarity between contexts

Identify personal information in content

Detect harmful or toxic content

Analyze emotional tone of content

Detect gender bias and discrimination

Identify malicious prompt manipulation

Verify text coherence and meaning

Ensure workplace appropriate content

Verify compliance with given instructions

Ensure compliance with privacy standards

Verify valid JSON format

Pattern matching validation

Validate API response handling

Execute custom evaluation logic

Language model-based evaluation

AI agent-based assessment

Verify JSON structure compliance

Assess if context meets requirements

Define and apply evaluation standards

Verify responses are based on context

Assess summary quality and precision

Compare response similarities

Assess evaluation result quality

Evaluate context fetching quality

Assess response ranking accuracy

Evaluate image generation compliance

Assess numerical scoring accuracy

Evaluate summarization effectiveness

Verify factual correctness

Assess translation quality

Evaluate cultural appropriateness

Identify various forms of bias

Assess function call handling

Validate text length requirements

Check for specific content patterns

Measure prompt complexity

Track content source attribution

Assess context chunk usage

Verify URL validity

Validate email format