Talk
Docling, an open source package, is rapidly becoming the de facto standard for document parsing and export in the Python community. Earning close to 30,000 GitHub in less than one year and now part of the Linux AI & Data Foundation. Docling is redefining document AI with its ease and speed of use. In this session, we’ll introduce Docling and its features, including usages with various generative AI frameworks and protocols (e.g. MCP).
The introduction to Docling has no prerequisite. Going deeper in the talk we will show examples of generative AI applications, it is advised to have previous knowledge of: - Retrieval Augmented Generation (RAG) applications and frameworks. - Model Context Protocol (MCP) and building applications with it.
Docling, an open source package, is rapidly becoming the de facto standard for document parsing and export in the Python community. Earning close to 30,000 GitHub in less than one year and now part of the Linux AI & Data Foundation. Docling is redefining document AI with its ease and speed of use. In this session, we’ll introduce Docling and its features, including how:
Senior Technical Staff Member
Dr. Michele Dolfi is a technical lead in the AI for Knowledge group at IBM Research, focusing on knowledge engineering and understanding. Michele is one of the researchers who created the Deep Search platform and the Docling open source project. His expertise spans from artificial intelligence to high performance computing and quantum systems.
Senior Research Scientist