The unstructured library provides open-source components for ingesting and pre-processing images and text documents, such as PDFs, HTML, Word docs, and many more. The use cases of unstructured revolve around streamlining and optimizing the data processing workflow for LLMs. unstructured modular bricks and connectors form a cohesive system that simplifies data ingestion and pre-processing, making it adaptable to different platforms and is efficient in transforming unstructured data into structured outputs.

Features

  • We are releasing the beta version of our Chipper model to deliver superior performance when processing high-resolution, complex documents
  • Run the library in a container
  • You can also build your own Docker image
  • Installation Instructions for Local Development
  • Create a virtualenv to work in and activate it
  • Chipper Model

Project Samples

Unstructured.IO Screenshot 1

Project Activity

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Categories

Large Language Models (LLM)

License

Apache License V2.0

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Additional Project Details

Programming Language

Python

Related Categories

Python Large Language Models (LLM)

Registered

2023-08-21
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