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Docling: Learn to Unlock Document Intelligence with Open-Source AI

Docling is an open-source document processing framework developed by IBM Research that converts unstructured documents (like PDFs, DOCX, PPTX, and images) into clean, structured, machine-readable data. It is designed to bridge the gap between messy, real-world business documents and AI.
In this build session, we'll be walking through the features of Docling. By the end, you will be able to use Docling to:
- Convert complex documents into various formats suitable for AI
- Understand the various methods of Chunking and how to use them
- Create a transparent and verifiable multimodal RAG application
- Navigate a parsed document's section tree with an LLM, without chunking or embeddings
- Deploy Docling as a scalable REST API service
- Compare token costs for PDF Q&A with and without Docling preprocessing
- Integrate Docling as a tool for AI agents using the Model Context Protocol (MCP)
Bring a laptop. The session is open to engineers, AI builders, and PMs who are interested in leveraging the latest open source tools for software development.

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This is the second in a series of four "Build-n-Brew" sessions to be held in the afternoon of each day during Boston Tech Week, hosted at the MIT-IBM Computing Research Lab at "Pi on Main" (314 Main Street) in the heart of Kendall Square. Co-sponsored by The Open Accelerator, RedHat, and IBM, each session starts at 4pm and will be a hands-on "build" experience to learn and use the latest in open source AI tech, to be followed by a reception for a little nosh, "brew", and networking. This second session will be on Docling.
NOTE: Doors open at 3:30p and space is limited to the first 50 to arrive - If you don't make it in time, we'll leave you with a small consolation prize and an invitation to join us at a future event.
This event is a part of #BOSTechWeek—a week of events hosted by VCs and startups to bring together the tech ecosystem. Learn more at www.tech-week.com.

More about Docling [https://www.docling.ai/](https://www.docling.ai/ https://research.ibm.com/blog/docling-generative-AI)
[https://research.ibm.com/blog/docling-generative-AI](https://www.docling.ai/ https://research.ibm.com/blog/docling-generative-AI)

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