Faithfulness

Faithfulness measures whether the claims in a RAG system's generated answer are supported by the retrieved context. A high-faithfulness answer makes only statements that can be verified against the provided passages; a low-faithfulness answer introduces facts from the model's parametric memory or hallucinations. Faithfulness is typically measured automatically using an LLM judge that checks each claim against the retrieved documents and is one of the core metrics in RAG evaluation frameworks.