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LangChain document loaders and splitters v1.0.0

Use this resource to load and split documents for a LangChain RAG pipeline

New

  • 518 downloads
  • 226 likes
  • 189 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install langchain-document-loaders-splitters

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 chooses a loader based on the source format and a splitter based on the content type, and fixes common issues: broken PDF tables, empty web pages and incomplete Markdown chunks. You get a reliable loading pipeline.

Mostly picked by

Updated November 2, 2026

Card for the “LangChain document loaders and splitters” skill

Details

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

Similar resources

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What you get

  • SKILL.md : loader and splitter choice, table and web page fixes
  • references/loader-selection-matrix.md : loader selection matrix
  • references/table-preservation.md : table preservation
  • references/crawler-hygiene.md : web crawler hygiene

Good fit for

  • Your RAG misquotes a table from a PDF
  • Your crawler returns pages with no content

Not for

    Tags

    • langchain
    • rag
    • chunking
    • pdf

    About

    You say

    “My RAG misquotes the tables in my PDFs and returns cut-off chunks, fix the loading.”

    Card for the “LangChain document loaders and splitters” skill

    Skill published by Jeremy Longshore <jeremy@intentsolutions.io> 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 load and split documents for a LangChain RAG pipeline
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/crawler-hygiene.md7.7 KB
    • references/language-aware-splitters.md7.8 KB
    • references/loader-selection-matrix.md5.4 KB
    • references/one-pager.md3.4 KB
    • references/table-preservation.md7.1 KB
    • SKILL.md16.3 KB

    Origin and licence

    Listed unmodified

    Author
    Jeremy Longshore <jeremy@intentsolutions.io>
    Source
    github.com/jeremylongshore/tons-of-skills-marketplace/tree/ab85a061f7bcc039dac13ee193de7a4cd4388571/skills/.curated/langchain-data-handling
    Licence
    MIT

    Notice

    « langchain-data-handling » (Jeremy Longshore <jeremy@intentsolutions.io>, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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