Unstructured
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A platform for turning messy enterprise documents — PDFs, slides, emails, scans — into clean, structured data ready for RAG and LLMs.
Overview
Unstructured tackles the least glamorous and most underestimated part of enterprise RAG: real documents are PDFs with tables, scanned contracts, slide decks, and email threads, and feeding them to an LLM raw produces bad retrieval. Unstructured provides connectors and a processing pipeline that extract, clean, and chunk these into LLM-ready data, available as open-source libraries or a managed API and platform. For any enterprise RAG project, data preprocessing is usually where quality is won or lost — and this is a tool built specifically for that step.
Pros & Cons
Pros
- Purpose-built for messy real-world documents
- Handles PDFs, tables, scans, and many formats
- Connectors for common enterprise data sources
- Open-source or managed API
Cons
- Complex document extraction is never perfect
- Managed API costs scale with document volume
- One stage of the pipeline — not end-to-end RAG
Workflows that use Unstructured
Get a new AI workflow each week — many feature Unstructured and other tools in this category.