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Unstructured

Turns messy PDFs, slides and emails into clean data ready for language models.

About Unstructured

Unstructured solves the unglamorous first step of most AI projects: getting usable text out of real documents. It reads PDFs, Word files, slides, images and emails and returns clean, labeled elements such as titles, paragraphs and tables. It then helps chunk and embed that content and send it to a vector database, with connectors for sources like SharePoint, S3 and Google Drive. The open-source library is free, and a hosted platform handles heavy workloads. Pricing for the platform is usage based. It is worth a look whenever the quality of document parsing is holding back your retrieval results.

Standout features

  • Document parsing
  • Table and layout detection
  • Chunking and embedding
  • Source and destination connectors
  • Open-source library
  • Hosted platform

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