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Documentation Index

Fetch the complete documentation index at: https://www.getmaxim.ai/docs/llms.txt

Use this file to discover all available pages before exploring further.

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 curated prompts (e.g., Clarity, Agent Trajectory)

Voice Evaluators

Analyzes audio conversations (e.g., AI Interrupting User, Sentiment Analysis)

Statistical Evaluators

Uses quantitative metrics to assess AI-generated outputs

Programmatic Evaluators

Uses JavaScript or Python code for custom evaluation logic
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
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