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."
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.