Docling is a tool that parses documents and exports them to desired formats like Markdown and JSON. It supports various document formats and provides advanced PDF understanding, metadata extraction, and integration with LlamaIndex and LangChain for RAG / QA applications.
Docling is a tool that parses documents and exports them to desired formats like Markdown and JSON. It supports various document formats including PDF, DOCX, PPTX, Images, HTML, AsciiDoc, and Markdown.
An open-source project offering a functional RAG UI for document QA, suitable for both end-users and developers. It supports various LLM providers, is customizable, and offers multi-modal QA, citations, and complex reasoning methods.
This article explores the use of large language models (LLMs) for document parsing, offering a more powerful and flexible alternative to traditional methods like regular expressions. It discusses the workflow involved in processing documents like research papers using LLMs, highlighting the benefits and advantages of this approach.
We introduce LayoutLM, one of the renowned models for extracting information from documents, developed by Microsoft. To tailor a solution for our specific needs, we label our documents using Label Studio, an open-source labeling tool, connected to our remote storage AWS S3.
Intelligent Document Processing (IDP), part of Xerox’s Capture and Content Services, is a suite of AI-powered technologies aimed at helping businesses automate and streamline their document processing workflows. IDP can extract, classify, and transform data from a variety of sources, including scanned typed and handwritten documents, scanned pictures, emails, and other digitised sources.
train models for processing documents based on specific needs and requirements. It offers capabilities such as entity recognition, key information extraction, and data validation,
pip install 'ragna builtin » ' # Install ragna with all extensions
ragna config # Initialize configuration
ragna ui # Launch the web app