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Overview

Extralit is an advanced literature review tool designed for efficient data extraction from scientific literature. It leverages LLM technology and RAG techniques to assist researchers in extracting structured data according to predefined Schemas.

To get started:

  • Get started in 5 minutes!

    Deploy Extralit for free on the Hugging Face Hub or with Docker. Install the Python SDK with pip and create your first project.

    Quickstart

  • How-to guides

    Get familiar with the basic workflows of Extralit. Learn how to manage Users, Workspaces, Datasets, and Records to set up your data annotation projects.

    Learn more

Or, play with the Extralit UI by signing in with your Hugging Face account on the public HuggingFace Space deployment.

Why use Extralit?

Extralit is designed to helps researchers and data scientists tackle the challenges of processing large volumes of academic papers, ensuring high-quality data extraction for scientific analysis and meta-studies. By combining LLMs and advanced ML models with intuitive workflows, Extralit is a powerful tool designed to transform unstructured scientific papers into structured, analyzable data.

Accelerate scientific data extraction

Manual data extraction from scientific papers is time-consuming and error-prone. Extralit leverages LLMs to automate and assist in the extraction process, significantly reducing the time and effort required to compile structured datasets from literature.

Ensure consistency and accuracy in extracted data

Scientific research demands high-quality, complete, and consistent data, but every field of study has unique data requirements. Extralit offers customizable extraction schemas and workflows to validate and review data, allowing you to define exactly the size and format of data extracted and how it should be structured, adapting to the specific needs of your research domain.

Advanced scientific text and table parsing

Scientific papers come in a variety of formats and layouts, often with complex tables and figures. Extralit excels at handling diverse scientific paper formats, employing advanced parsing techniques to ensure you get complete and accurate data, regardless of the complexity of the source material.

Collaborate effectively on large-scale literature reviews

Literature review and meta-analysis projects often require team effort. Extralit builds upon Argilla's platform to facilitate collaborative extraction, allowing multiple researchers to work together efficiently, share insights, and maintain a consistent approach across large volumes of literature.

Relationship to Argilla

Extralit builds upon Argilla's foundation, adding specialized features for scientific data extraction.