DeepEval is an open-source python-based evaluation framework, for evaluating LLM performance. You can use it to evaluate retrieval-augmented generation (RAG) and other kinds of apps built with popular frameworks like LlamaIndex or LangChain, as well as to baseline and benchmark when you're comparing different models for your needs. DeepEval provides a comprehensive suite of metrics and features to assess LLM performance, including hallucination detection, answer relevancy and hyperparameter optimization. It offers integration with pytest and, along with its assertions, you can easily integrate the test suite in a continuous integration (CI) pipeline. If you're working with LLMs, consider trying DeepEval to improve your testing process and ensure the reliability of your applications.
