DeepEval
Open-source framework of tests for model applications.
Overview
DeepEval provides assertions for model outputs - answer relevancy, faithfulness, hallucination, contextual precision - and runs them as tests in a suite. It solves the problem that evaluation is usually a notebook somebody ran once, so nothing catches a regression when the prompt or the model changes. It exists because treating quality metrics as tests is the only way they get run on every change.
Technology Graph
How DeepEval connects to the rest of the stack.
Applied to
- RAG technique Techniques DeepEval used for RAG High ✓ source
Tools
Software that implements or integrates with DeepEval.