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RAG development with LlamaIndex v1.0.0

Use this resource to build a RAG application with LlamaIndex

New

  • 434 downloads
  • 136 likes
  • 191 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install llamaindex-rag-document-pipelines

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 writes a RAG application with LlamaIndex: document loading, node parsing, vector indexes, query engines and custom loaders. You get a modular project organization with Python examples.

Mostly picked by

Updated November 2, 2026

Card for the “RAG development with LlamaIndex” 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: principles and project structure
  • SKILL.md: document loading and custom loaders
  • SKILL.md: node parsing, text processing and query engines

Good fit for

  • You query an internal document base with an LLM
  • You want to index PDF or text files for search

Not for

    Tags

    • llamaindex
    • rag
    • index
    • documents

    About

    You say

    “Load the folder of PDF contracts, index them and create a query engine over that folder.”

    Card for the “RAG development with LlamaIndex” skill

    Skill published by mindrally 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 application with LlamaIndex
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE11.3 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md9.4 KB

    Origin and licence

    Listed unmodified

    Author
    mindrally
    Source
    github.com/mindrally/skills/tree/7682ca77710e0971eab4e0ae5dddfa281aea0ba5/llamaindex-development
    Licence
    Apache-2.0

    Notice

    « llamaindex-development » (mindrally, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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