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:

Basic usage or getting-started notes:

• :eight_pointed_black_star: Quick Start

• 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