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Evaluating retrieval and generation in RAG v1.0.0

Use this resource to evaluate the retrieval and generation quality of a RAG system

New

  • 410 downloads
  • 235 likes
  • 164 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install rag-pipeline-evaluation

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent reviews your pipeline and separates retrieval evaluation (Recall@k) from generation evaluation (faithfulness, relevance). It can also generate synthetic question-answer pairs and guide chunking optimisation. You get an evaluation method and the metrics to track.

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Updated November 2, 2026

Card for the “Evaluating retrieval and generation in RAG” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: evaluation procedure and retrieval and generation metrics
  • SKILL.md: chunking optimisation and anti-patterns to avoid

Good fit for

  • Your RAG system gives wrong or unsourced answers
  • You want to tune document chunking before changing the model

Not for

    Tags

    • rag
    • evaluation
    • retrieval
    • faithfulness

    About

    You say

    “Evaluate the retrieval of my RAG pipeline on our help-center corpus. I have no test set yet.”

    Card for the “Evaluating retrieval and generation in RAG” skill

    Skill published by hamelsmu under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to evaluate the retrieval and generation quality of a RAG system
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md7.6 KB

    Origin and licence

    Listed unmodified

    Author
    hamelsmu
    Source
    github.com/hamelsmu/evals-skills/tree/22418da2bfb159f28a1b0dcf64e969e14ae56c99/skills/evaluate-rag
    Licence
    MIT

    Notice

    « evaluate-rag » (hamelsmu, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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