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Building a RAG system over your documents with LlamaIndex v1.0.0

Use this resource to ingest documents and build a question-answering system with LlamaIndex

New

  • 484 downloads
  • 130 likes
  • 178 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install llamaindex-rag-data-framework

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 guides you through loading your documents with connectors, creating a vector index, then querying your data with a query engine. You get a RAG setup in a few lines, extensible to agents and multimodal use.

Mostly picked by

Updated November 2, 2026

Card for the “Building a RAG system over your documents with LlamaIndex” skill

Details

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

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What you get

  • SKILL.md: installation, document loading and queries
  • references/data_connectors.md, query_engines.md and agents.md: connectors, query engines and agents

Good fit for

  • You want to query private documents with an LLM
  • You collect data from several sources before indexing

Not for

    Tags

    • rag
    • documents
    • llamaindex
    • question answering

    About

    You say

    “Index my PDF contracts and answer my questions about termination clauses.”

    Card for the “Building a RAG system over your documents with LlamaIndex” skill

    Skill published by Orchestra Research 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 ingest documents and build a question-answering system with LlamaIndex
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/agents.md2 KB
    • references/data_connectors.md2.4 KB
    • references/query_engines.md10.1 KB
    • SKILL.md14.9 KB

    Origin and licence

    Listed unmodified

    Author
    Orchestra Research
    Source
    github.com/orchestra-research/ai-research-skills/tree/773a52944ba4747a18bd4ae9ade53fff041adcbc/14-agents/llamaindex
    Licence
    MIT

    Notice

    « llamaindex » (Orchestra Research, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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