# 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. - Skill: `agentskillexchange/unstructured-document-etl-for-llm-pipelines` (Agent Skill) - Install (CLI): `npx skillmds@latest add agentskillexchange/unstructured-document-etl-for-llm-pipelines` - Raw SKILL.md: https://api.skillmd.com/api/skills/agentskillexchange/unstructured-document-etl-for-llm-pipelines/raw - Safety review: pending (external: skill-scanner PASS, skillspector PASS) - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Web & Frontend - Author: agentskillexchange (https://skillmd.com/u/agentskillexchange) - Updated: 2026-09-08 - Page: https://skillmd.com/skills/agentskillexchange/unstructured-document-etl-for-llm-pipelines --- # 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: - ![https://pypi.python.org/pypi/unstructured/](https://img.shields.io/pypi/l/unstructured.svg) - ![https://pypi.python.org/pypi/unstructured/](https://img.shields.io/pypi/pyversions/unstructured.svg) - ![https://github.com/Naereen/badges/](https://badgen.net/badge/Open%20Source%20%3F/Yes%21/blue?icon=github) 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/)