How We Got Started

Unstructured is an open-source toolkit developed to address the challenges faced by data scientists in preparing natural language data for machine learning models, particularly large language models (LLMs). Launched in 2022, the library provides a comprehensive solution for connecting, transforming, and staging data in various formats, enabling developers and enterprises to efficiently utilize their natural language data. It supports traditional NLP workflows and has adapted to the evolving NLP landscape by integrating with LLM tools like vector databases and orchestration frameworks. With over 700,000 PyPI downloads and usage across numerous companies and GitHub repositories, Unstructured facilitates seamless data preprocessing through its libraries and API, allowing users to leverage their data with unprecedented speed and ease. The platform offers extensive support for data integration, including connectors to multiple sources, partitioning functions for diverse document types, and staging functions for integration with downstream components. Users can engage with the community via Slack for support and feedback, while enterprises can reach out for tailored solutions to unlock their internal data for LLM applications.