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Retrieval-augmented generation (RAG) v1.0.0

Use this resource to build a RAG system that answers from documents

New

  • 358 downloads
  • 100 likes
  • 200 saves

Free

Install with the CLI

In a terminal, from the folder you want:

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

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 picks the chunking strategy, retrieval and reranking, then feeds the model the useful passages. You get a document question-answering chain and the points to evaluate.

Mostly picked by

Updated November 2, 2026

Card for the “Retrieval-augmented generation (RAG)” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
Apache-2.0

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What you get

  • SKILL.md: the agent's RAG role and method
  • references/patterns.md: chunking, hybrid retrieval and reranking strategies
  • references/sharp_edges.md: poor chunking, off-topic passages and unsourced answers

Good fit for

  • You want an assistant to answer from your internal documentation
  • Your answers invent facts instead of citing documents

Not for

    Tags

    • rag
    • retrieval
    • embeddings
    • documents
    • question answering

    About

    You say

    “Set up an assistant that answers customer questions from our help center, with sources cited.”

    Card for the “Retrieval-augmented generation (RAG)” skill

    Skill published by omer-metin under the Apache-2.0 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 build a RAG system that answers from documents
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE10.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/patterns.md5.1 KB
    • references/sharp_edges.md8.3 KB
    • references/validations.md1.6 KB
    • SKILL.md1.9 KB

    Origin and licence

    Listed unmodified

    Author
    omer-metin
    Source
    github.com/omer-metin/skills-for-antigravity/tree/e8dcf4e8737921a10088bd5c9eb65e81f74c051f/skills/rag-implementation
    Licence
    Apache-2.0

    Notice

    « rag-implementation » (omer-metin, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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