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Unstructured Data Processing and Transformation

Autor: Unstructured

Unstructured extracts and transforms data for use with every major vector database and LLM framework

Ingest and preprocess complex natural language data from any document, file type, or layout with Unstructured.

Under the hood, the Unstructured engine involves breaking a document into its constituent parts and identifying the document's structure, such as its header, tables, and body text. Unstructured provides diverse preprocessing strategies for documents each catering to different document types and requirements. Utilizing the optimal strategy enhances document element classification accuracy and extraction efficiency, which is crucial for image-based files and layout-intensive documents.

Key benefits:
  • Transforms all your data for downstream analytics
  • Next-generation vision transformer for images, PDF, and table extraction
  • Enhanced models for table extraction, document hierarchy, and element classification
  • Chunks your data for LLM applications
  • Compatible with any embedding model, vector database, and LLM framework
  • API client libraries in multiple client languages (e.g. Python, Javascript)
  • No data storage
  • Data is secure
  • Easily integrates with Microsoft Azure
  • Reduces compute costs and enhance quality of inferences

Click on Get it Now to start using Unstructured for your data preprocessing needs.

We are constantly improving our products and love feedback. Please make sure to reach out to sales@unstructured.io if you have any questions or comments so we can make sure that you have the best experience possible.

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