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Implementing a RAG system v1.0.0

Use this resource to set up a RAG system from design to evaluation

New

  • 398 downloads
  • 230 likes
  • 173 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install rag-implementation-workflow

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 works through eight phases, from requirements analysis to evaluation: embedding selection, vector database setup, chunking strategy, retrieval tuning, LLM integration and caching. At each phase it names the related skills to invoke. You get a full roadmap for your project.

Mostly picked by

Updated November 2, 2026

Card for the “Implementing a RAG system” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: eight phases, from requirements analysis to evaluation
  • SKILL.md: related skills to invoke at each phase

Good fit for

  • You are building semantic search over your documents
  • You are building an assistant that answers from your knowledge base

Not for

    Tags

    • rag
    • embeddings
    • retrieval

    About

    You say

    “Walk me through setting up a RAG over our internal documentation.”

    Card for the “Implementing a RAG system” skill

    Skill published by sickn33 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 set up a RAG system from design to evaluation
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md5.3 KB

    Origin and licence

    Listed unmodified

    Author
    sickn33
    Source
    github.com/sickn33/agentic-awesome-skills/tree/e9809578fd426a284af017c5db99f8eb6628e6ca/skills/rag-implementation
    Licence
    MIT

    Notice

    « rag-implementation » (sickn33, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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