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Athina has a large library of preset evaluators to cover all kinds of common use
cases.
Available Preset Evaluators
You can also create custom evaluators. See here for
more information. RAG Evals
These evals are useful for evaluating LLM applications with Retrieval Augmented Generation (RAG):
RAGAS Evals
RAGAS is a popular library with state-of-the-art evaluation metrics for RAG models:
Safety Evals
These evals are useful for evaluating LLM applications with safety in mind:
Summarization Evals
These evals are useful for evaluating LLM-powered summarization performance:
JSON Evals
These evals are useful for validating JSON outputs:
Function Evals
Unlike the previous evaluators which used an LLM for grading, function evals use simple functions to check if:
Head over to the function evaluators page for further details.
Evals with Ground Truth
These evaluators compare the response against reference data:
Head over to the grounded evaluators page for further details. 
