Maxim provides a collection of pre-built evaluators that you can use immediately for your AI evaluation needs. These include high-quality evaluators from Maxim and popular open-source libraries like RAGAS. Install them directly from the Evaluator Store. The Evaluator Store contains four types of evaluators:

AI Evaluators

Uses LLMs as judges with well-curated prompts, including multi-turn conversation evaluators (Example: Clarity, Agent Trajectory, Task Success)

Voice Evaluators

Audio Evaluators that analyze pre recorded audio outputs like SNR, Sentiment Analysis

Statistical Evaluators

Evaluators that use quantitative metrics to objectively assess the quality and performance of AI-generated outputs.

Programmatic Evaluators

Uses JavaScript or Python code to evaluate quality with custom logic (Example: isValidJSON, custom validation functions)
Browse evaluators in the Evaluator Store
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Install evaluators

Search or filter evaluators based on your requirements. Add them to your workspace by clicking the Add to workspace button.
Read more about specific evaluators in their documentation after installing them
Install an evaluator from the store
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Use installed evaluators

Use your installed evaluators while triggering test runs on any entity.Select evaluators while triggering a test run