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Agentic search in a LlamaCloud Index v2 knowledge base v1.0.0
Use this resource to answer questions from documents indexed in a LlamaCloud Index v2 knowledge base
New
- 528 downloads
- 214 likes
- 175 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install llamacloud-index-document-retrievalWith 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 loginThe agent picks an index, then navigates its documents: bounded passage retrieval with file and page provenance, locating a document by name, and text search with context. Each answer is grounded in cited extracts fetched with curl calls.
Mostly picked by
Updated November 2, 2026
Previews
Details
- Install guides
- Generates with
- Your agent's model
- Licence
- MIT
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What you get
- SKILL.md: agentic retrieval loop and choice of calls
- SKILL.md: working examples for passages, file names and text search
- SKILL.md: rules for grounding answers in sources
Good fit for
- You want to query documents already uploaded to a LlamaCloud index
- You need to cite the exact page of a document
Not for
Tags
- LlamaCloud
- search
- documents
- API
- citations
About
You say
“In our contracts index, find the termination clause and cite the file and page.”
Skill published by run-llama under the MIT license, delivered in its original version.
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How to use it
- Install the skill in your agent's skills folder
- Ask your agent to answer questions from documents indexed in a LlamaCloud Index v2 knowledge base
- Review and adjust the result
Content preview
Files
- LICENSE1 KB
- NOTICE-PALATEKIT.md0.5 KB
- SKILL.md9.1 KB
Origin and licence
Listed unmodified
- Author
- run-llama
- Source
- github.com/run-llama/llamaparse-agent-skills/tree/2dcef7c62417bd2ec4671fce4621bb1e8cce48d0/skills/llamacloud-index
- Licence
- MIT
Notice
« llamacloud-index » (run-llama, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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