AI & LLM Evals / Quiz
DeepEval's RAG Arsenal
Faithfulness vs hallucination, the contextual metric family, and Synthesizer: which DeepEval metric needs which fields, and how to mass-produce goldens from docs.
- Difficulty
- Medium
- Format
- Quiz
- Points
- 150
- Estimate
- 10 min
// MISSION BRIEF
Your Mission
DeepEval ships a family of RAG metrics that look interchangeable and are not: faithfulness reads retrieval_context, hallucination reads context, and the contextual metrics demand ground truth. Feed the wrong field and your metric happily measures nothing.
Seven questions on picking metrics, wiring their required fields, and generating synthetic goldens with the Synthesizer. Speed bonus active.
// FIRST CONTACT
Battle teaser
FaithfulnessMetric evaluates:
- AWhether the retriever was fast enough
- BWhether the user's question was well formed
- CWhether claims in actual_output are supported by retrieval_context, the chunks your retriever actually fetched at inference time
- DWhether the answer matches expected_output word for word
Answers, scoring, hints, and the full battle stay sealed.
// SKILL TAGS
deepevalragfaithfulnesssynthetic-data