RAG Evaluation Checklist: Retrieval, Grounding, Citations, and Answer Quality
Use this RAG evaluation checklist to test retrieval quality, grounding, citations, answer completeness, prompt injection risk, and regression behavior before production.
Practical evaluation, reliability, and measurement methods for AI agents and LLM applications.
Use this RAG evaluation checklist to test retrieval quality, grounding, citations, answer completeness, prompt injection risk, and regression behavior before production.
A practical framework for evaluating AI agents with task success, safety, cost, latency, traces, datasets, and release gates.