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ragas-evaluator

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RAG quality evaluator across four metrics.

Data & Analytics#recall#rag#evaluation#precision#faithfulness#relevancy
Authorlofibrainwav
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill provides a rigorous evaluation framework for RAG outputs across faithfulness, relevancy, precision, and recall.

Core Features & Use Cases

  • Faithfulness: Ensure answers align with retrieved context.
  • Relevancy & Precision: Validate that responses address the question with relevant data.
  • Context Recall: Verify that retrieved context covers the needed information.

Quick Start

scores = await evaluator.evaluate(question="What is Trinity Score?", answer="Trinity Score ...", contexts=["Trinity Score measures Truth, Goodness..."])

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: ragas-evaluator
Download link: https://github.com/lofibrainwav/AFO_Kingdom/archive/main.zip#ragas-evaluator

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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