Introduction¶
Welcome to our workshop!
In this workshop we'll be walking through the features of Docling
By the end of this workshop, 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
- 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)
About this workshop
The introductory page of the workshop is broken down into the following sections:
Agenda¶
| Lab | Description |
|---|---|
| Lab 0. Pre-work | Pre-work for the workshop |
| Lab 1. Document Conversion with Docling | Learn how to use Docling to convert complex documents |
| Lab 2. Chunking and Vectorization with Docling | Learn how Docling enables advanced chunking |
| Lab 3. Multimodal RAG with Docling | Building a verifiable multimodal RAG system |
| Lab 4. Docling as a Service | Deploy Docling as a REST API service |
| Lab 5. Token Cost Comparison | Compare token costs for PDF Q&A with and without Docling |
| Lab 6. Docling + MCP for AI Agents | Expose Docling tools to AI agents via MCP |
Technology Used¶
The technology used in the workshop is as follows: