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Unstructured Document Etl For Llm Pipelines

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Unstructured is an open source document processing library that converts PDFs, HTML, Office files, emails, and other formats into structured data for downstream AI workflows. It is a practical intake layer for extraction, chunking, and preprocessing before embeddings, search, or agent use.

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  • Added June 8, 2026
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SKILL.md
---
name: "Unstructured Document ETL for LLM Pipelines"
slug: "unstructured-document-etl-for-llm-pipelines"
description: "Unstructured is an open source document processing library that converts PDFs, HTML, Office files, emails, and other formats into structured data for downstream AI workflows. It is a practical intake layer for extraction, chunking, and preprocessing before embeddings, search, or agent use."
github_stars: 14443
verification: "security_reviewed"
source: "https://github.com/Unstructured-IO/unstructured"
author: "Unstructured-IO"
category: "Data Extraction & Transformation"
framework: "Multi-Framework"
tool_ecosystem:
  github_repo: "Unstructured-IO/unstructured"
  github_stars: 14443
---

# Unstructured Document ETL for LLM Pipelines

Unstructured is an open source document processing library that converts PDFs, HTML, Office files, emails, and other formats into structured data for downstream AI workflows. It is a practical intake layer for extraction, chunking, and preprocessing before embeddings, search, or agent use.

## Prerequisites

bun, python, pip, uv, docker, go

## Installation

Use the upstream install or setup path that matches your environment:
- docker pull downloads.unstructured.io/unstructured-io/unstructured:latest
- docker run -dt --name unstructured downloads.unstructured.io/unstructured-io/unstructured:latest
- docker exec -it unstructured bash
- make docker-build

Requirements and caveats from upstream:
- <a href="https://github.com/Unstructured-IO/unstructured/blob/main/LICENSE.md">![https://pypi.python.org/pypi/unstructured/](https://img.shields.io/pypi/l/unstructured.svg)</a>
- <a href="https://pypi.python.org/pypi/unstructured/">![https://pypi.python.org/pypi/unstructured/](https://img.shields.io/pypi/pyversions/unstructured.svg)</a>
- <a href="https://pypi.python.org/pypi/unstructured/">![https://github.com/Naereen/badges/](https://badgen.net/badge/Open%20Source%20%3F/Yes%21/blue?icon=github)</a>

Basic usage or getting-started notes:
- ## :eight_pointed_black_star: Quick Start
- [Run the library in a container](https://github.com/Unstructured-IO/unstructured#run-the-library-in-a-container) or
- ### Run the library in a container

- Source: https://github.com/Unstructured-IO/unstructured
- Extracted from upstream docs: https://raw.githubusercontent.com/Unstructured-IO/unstructured/HEAD/README.md

## Documentation

- https://unstructured-io.github.io/unstructured/installing.html#installation-with-conda-on-windows

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/unstructured-document-etl-for-llm-pipelines/)

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