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// Evaluate RAG pipelines with Ragas — faithfulness, answer relevancy, context precision/recall, and test set generation.

Ragas RAG EvaluationVerified Creator

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Stars
4.2k
Forks
258
Updated
Jun 24, 2026
repo --stat

  • stars

    4.2k

  • forks

    258

  • last update

    Jun 24, 2026

  • license

    MITv1.3.0

quickstart.sh
3 steps
  1. Install

    // Drops SKILL.md into ~/.claude/skills/

    $ claude skills add ragas-rag-evaluation
  2. Invoke

    // Run from any project directory

    $ claude --skill ragas-rag-evaluation "fine-tune on this CSV"
  3. Iterate

    // Re-run with edits — Claude keeps the skill loaded

    $ claude --skill ragas-rag-evaluation "now refactor it"
ragas-rag-evaluation/
references
SKILL.md
readonly
name:
Ragas RAG Evaluation
slug:
ragas-rag-evaluation
version:
v1.3.0
license:
MIT
author:
@ragas-eval-craft
repository:
github.com/ragas-eval-craft/ragas-rag-evaluation
categories:
ML / AI
tags:
#ragas#rag-evaluation#faithfulness#context-precision#llm-eval
description:

Evaluate RAG pipelines with Ragas — faithfulness, answer relevancy, context precision/recall, and test set generation.

features.md
3 capabilities

// What you can do with it

  • Automates the tedious parts of the workflow.
  • Gives Claude the right context, tools, and guardrails.
  • Produces consistent, reviewable output every time.

README.md

ragas-rag-evaluation/README.md
5 sections
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