Get your data RAG-ready
We are dedicated to helping organizations by providing them with complete access to their data.
We know the world runs on documents—from research reports and memos, to quarterly filings and plans of action, documents are the unit of information that organizations depend on. And yet, 80% of this information is trapped in inaccessible formats, and organizations have long struggled to unlock this data, leading to information silos, inefficient decision-making, and repetitive work. Until now.
Unstructured captures this unstructured data wherever it lives and transforms it into AI-friendly JSON files for people who are eager to fold AI into their work.
Unstructured provides a turnkey solution to transform raw data, such as PDFs and Microsoft Office documents, into RAG-ready data, making your human-generated information accessible to LLMs. With more than 50k companies using our technology, including nearly half of the Fortune 500, our platform continuously hydrates your generative AI architectures and allows you to plug in any third-party model with our modular, interoperable architecture.
We support over 25 file types, including PDF, DOC, and PPTX, and offer connectors to platforms like SharePoint, S3, Databricks, and more. Unstructured seamlessly unlocks the potential of your documents, ensuring efficient data extraction and integration into your Gen AI workflows. With a simple consumption based pricing model, Unstructured delivers a transparent, predictable, and scalable ingestion and preprocessing solution.
The Unstructured engine operates by dissecting a document into its individual components and recognizing its format, including headers, tables, and other structural elements. The data extraction process can be done using a variety of techniques, such as rule-based methods, machine learning models, and natural language processing.
Unstructured offers many preprocessing techniques tailored to accommodate different document types and specific needs. Selecting the right approach improves the accuracy of classifying document elements and enhances the efficiency of data extraction, which is especially important for image-heavy and complex-layout documents.
Our team of engineers spent 16 months and over 1 million annotated documents to stitch together over 500 different code libraries plus custom code development on top of that to build the Unstructured platform that can successfully transform unstructured data.
Today, Unstructured has over 11M product downloads, is used by over 50,000 companies, and included in over 10,000 GitHub repositories.
