Unstructured Document Partitioning and ETL Library for LLM Pipelines

Unstructured Document Partitioning and ETL Library for LLM Pipelines

Unstructured is an open-source library for ingesting and partitioning PDFs, HTML, Office documents, emails, and other unstructured inputs into structured elements and metadata. It is commonly used as a preprocessing layer for RAG, search, extraction, and downstream AI pipelines.

Prerequisites

Python 3.11+

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://docs.unstructured.io/

Source

• Agent Skill Exchange