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Bulk PDF and document processing on a GPU v1.0.0
Use this resource to extract, chunk and embed a large volume of documents
New
- 314 downloads
- 232 likes
- 118 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install gpu-bulk-document-processingWith 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 hands the heavy processing (text and table extraction, chunking, embeddings) to a GPU environment and keeps the reasoning on the output. You get structured data ready for search or analysis.
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: architecture with a GPU sandbox and task split
- SKILL.md: text and tabular data extraction from PDFs
- SKILL.md: document chunking and embedding generation for a collection
Good fit for
- You have PDFs longer than fifty pages to analyze
- You build semantic search over ten or more documents
Not for
Tags
- extraction
- embeddings
- GPU
About
You say
“Extract the tables from these thirty PDF reports, chunk them and generate the embeddings.”
Skill published by langchain-ai 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 extract, chunk and embed a large volume of documents
- Review and adjust the result
Content preview
Files
- LICENSE1.1 KB
- NOTICE-PALATEKIT.md0.5 KB
- SKILL.md3.7 KB
Origin and licence
Listed unmodified
- Author
- langchain-ai
- Source
- github.com/langchain-ai/deepagents/tree/98773a73843421f85a2113e6c3b0262f53d9bcd6/examples/nvidia_deep_agent/skills/gpu-document-processing
- Licence
- MIT
Notice
« gpu-document-processing » (langchain-ai, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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