Evaluations

DeepEval is the open-source LLM evaluation framework: it functions as a Pytest-like unit testing tool for validating large language model outputs with programmatic rigor.

Evaluations, specifically via the DeepEval framework, provide the necessary structure for systematic LLM testing. This open-source tool integrates directly into your CI/CD pipeline, acting like a specialized Pytest for AI applications. It leverages over 50 research-backed metrics—including G-Eval, RAGAS, and Hallucination checks—to score model performance on specific criteria. Developers define test cases, run the evaluation, and receive concrete metrics to prevent regressions, ensuring model reliability before deployment.

https://deepeval.com/