4 · RAG Evaluation & Ragas

4. RAG Triad Evaluation & Benchmark Harnesses

Faithfulness, Answer Relevance, Context Precision, and the Ragas evaluation framework.

10 min read · 2 MCQs

The RAG Triad

Reliable RAG systems are measured on three core pillars: 1. Context Relevance (Did retrieval pull only relevant data?), 2. Faithfulness (Is the answer derived strictly from the retrieved context without hallucinations?), 3. Answer Relevance (Did the response directly address the user query?).

Automated LLM-as-a-Judge Benchmarks

Frameworks like Ragas and DeepEval compute objective metric scores (0.0 to 1.0) using synthetic test sets and evaluator LLMs, running automated regression checks in CI/CD before deploying prompt or pipeline changes.

Chapter quiz

2 questions · pass mark 75%

1. What does the 'Faithfulness' metric evaluate in a RAG system?
2. Why are synthetic evaluation sets utilized in RAG pipelines?