rohit.vision

RAG Evaluation Frameworks

WIP nlp-llms deepeval evaluation llm nlp rag ragas trulens 1 min read

Tools for automating RAG evaluation: Ragas, DeepEval, and TruLens

Overview

Manually evaluating RAG pipelines is unscalable. Modern frameworks use “LLM-as-a-Judge” paradigms to automatically score pipelines against standard metrics (Faithfulness, Answer Relevance, Context Precision).

Ragas

Ragas (Retrieval Augmented Generation Assessment) is a popular open-source framework that evaluates RAG pipelines without requiring human-annotated ground-truth datasets.

  • Key Metrics: Context Precision, Context Recall, Faithfulness, Answer Relevancy.

DeepEval

DeepEval is an open-source evaluation framework for LLMs, heavily inspired by PyTest.

  • Key Features: It runs evaluations as unit tests (deepeval test run ...). Extremely easy to integrate into CI/CD pipelines.

TruLens

TruLens tracks and evaluates LLM apps.

  • Key Features: Introduces the “RAG Triad” (Context Relevance, Groundedness, Answer Relevance) and provides a powerful visual dashboard to explore where a pipeline failed across different queries.

TODO: Add code snippets for setting up a basic Ragas evaluation run.