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Document embedding pipeline v1.0.0

Use this resource to build a vector indexing pipeline for your documents

New

  • 595 downloads
  • 167 likes
  • 151 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install document-embedding-pipeline

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 creates loaders for several sources (files, web pages), cleans and normalizes text, splits documents into chunks (including semantic chunking), generates embeddings and indexes them in the vector database. You get a complete pipeline ready for search.

Mostly picked by

Updated November 2, 2026

Card for the “Document embedding pipeline” skill

Details

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

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What you get

  • SKILL.md: multi-source loaders, including a web loader
  • SKILL.md: preprocessing and smart or semantic chunking
  • SKILL.md: embedding generation, indexing and the full pipeline

Good fit for

  • You want web pages and PDFs indexed for search
  • Your documents change and the index must follow without a full rebuild

Not for

    Tags

    • embeddings
    • indexing
    • chunking

    About

    You say

    “Build a pipeline that indexes our help pages and contract PDFs for semantic search.”

    Card for the “Document embedding pipeline” skill

    Skill published by patricio0312rev 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 build a vector indexing pipeline for your documents
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md17.9 KB

    Origin and licence

    Listed unmodified

    Author
    patricio0312rev
    Source
    github.com/patricio0312rev/skills/tree/79ea6af485698b31060b63f0066f712560757b29/ai-engineering/embedding-pipeline-builder
    Licence
    MIT

    Notice

    « embedding-pipeline-builder » (patricio0312rev, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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