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Glossary · AI & Agents

Unstructured

Definition: Unstructured is an open-source library and platform that extracts and cleans text from documents like PDFs, Word files, HTML, and emails, converting them into structured, chunked JSON that large language models and RAG pipelines can use.

Official source: Unstructured

Overview

What Unstructured Does

Unstructured is an open-source library and commercial platform that ingests messy source files, PDFs, Word and PowerPoint documents, HTML, emails, and images, and extracts their content into a consistent, structured format. It identifies document elements like titles, paragraphs, tables, and lists, cleans out noise, and outputs clean JSON that downstream AI systems can reliably consume.

Why It Matters for RAG Quality

In retrieval-augmented generation, answer quality depends heavily on the quality of the data you index. Feeding raw PDFs into a model produces garbled text, broken tables, and poor retrieval. Unstructured handles parsing and chunking up front, so the embeddings you store actually represent the content. Better inputs mean more faithful, accurate answers and fewer hallucinations.

Where It Fits in Our Builds

When our team builds knowledge assistants and RAG development projects, document ingestion is the unglamorous step that decides success. We use tools like Unstructured to normalize a client's mix of file formats before embedding and indexing. As a 100% in-house team, we tune parsing and chunking to the client's real documents rather than assuming clean inputs.

Where we use it

Related Zen in Tech services

How our team puts Unstructured to work in real projects.

FAQ

Unstructured — common questions

Is Unstructured open-source or paid?

Both. The core Unstructured library is open-source and free to self-host, while Unstructured also offers a hosted API and enterprise platform with connectors, higher throughput, and support, priced by usage.

What file types does Unstructured support?

Unstructured handles a wide range, including PDFs, Word and PowerPoint files, HTML, Markdown, emails, CSVs, and images. It extracts and structures their text and elements for use in LLM and RAG pipelines.

Unstructured vs LlamaParse?

Both prepare documents for AI. Unstructured is a broad, open-source toolkit for many file types, while LlamaParse focuses on parsing complex PDFs with tables and figures into clean Markdown. Teams sometimes use them together.

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