Definition
RAGAS (Retrieval Augmented Generation Assessment) is an evaluation framework that employs an LLM-as-a-judge paradigm to quantify RAG pipeline performance through metrics like faithfulness and relevance. While it enables scalable, reference-free testing, it introduces a trade-off between evaluation speed and the inherent biases/costs of the evaluator LLM.
An automated evaluation framework, not a retrieval algorithm or vector database.
"A Teaching Assistant grading an open-book exam by verifying if every claim in the student's essay is explicitly supported by the provided textbook snippets."
- Faithfulness(Component)
- LLM-as-a-judge(Prerequisite)
- Context Precision(Component)
- Answer Relevance(Component)
Conceptual Overview
RAGAS (Retrieval Augmented Generation Assessment) is an evaluation framework that employs an LLM-as-a-judge paradigm to quantify RAG pipeline performance through metrics like faithfulness and relevance. While it enables scalable, reference-free testing, it introduces a trade-off between evaluation speed and the inherent biases/costs of the evaluator LLM.
Disambiguation
An automated evaluation framework, not a retrieval algorithm or vector database.
Visual Analog
A Teaching Assistant grading an open-book exam by verifying if every claim in the student's essay is explicitly supported by the provided textbook snippets.