Docling Project在GitHub上拥有多个公共仓库,主要使用Python、C++、Java、Swift、Jupyter Notebook和TypeScript等编程语言。该组织的显著项目包括docling、docling-serve和docling-parse,专注于文档处理和生成AI相关功能,展示了其在开源社区的重要性。
Get your documents ready for gen AI
Running Docling as an API service
Making docling agentic through MCP
Simple package to extract text with coordinates from programmatic PDFs
Docling core data types and transformations
此仓库未提供描述。
Transform unstructured documents into validated, rich and queryable knowledge graphs.
A Java API for Docling
Evaluation framework for document processing models and services.
Docling LangChain integration
Agent that read, write and edit documents.
A set of tools to create synthetically-generated data from documents
Docling workshops
Use Docling output in TypeScript and JavaScript
此仓库未提供描述。
Docling Haystack integration
Docling4j brings the functionalities of Docling in document understanding to Java® projects
此仓库未提供描述。
此仓库未提供描述。
Core package for type and interface definitions of docling metric implementations
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The Docling website
Collection of CVAT parsing and campaign utilities for Docling
docling-snap
Examples using MLX Swift
docling-project专注于文档处理和生成AI,开发了多个相关项目,包括docling、docling-serve和docling-parse,旨在提升文档的智能化处理能力。
docling-project主要使用Python、C++、Java、Swift、Jupyter Notebook和TypeScript等编程语言,这些语言支持其多样化的项目开发。
是的,docling-project的所有仓库都是公开的,任何人都可以访问和使用其开源项目,促进了知识的共享和合作。