Want to start freelancing? Let me help: Want to learn real AI Engineering? Go here: 💼 Need help with a project? Work with me: 🔗 GitHub Repository 🛠️ My VS Code / Cursor Setup ⏱️ Timestamps 0:45 Building an Extraction Pipeline 2:15 Document Conversion Basics 6:12 HTML Extraction Techniques 9:10 Chunking Data for AI 14:22 Storing in Vector Databases 19:51 Searching the Vector Database 22:16 Creating an Interactive Application 📌 Description In this Docling tutorial, you will learn to extract and structure data from various documents, utilizing techniques such as parsing, chunking, and embedding. A walkthrough of Docling and a practical demonstration illustrate these processes. The video also explores integrating vector databases for efficient data storage and enhancing AI responses through embedding models. Finally, a simple interactive chat application is demonstrated, showcasing the completed knowledge extraction pipeline and optimization strategies. 👋🏻 About Me Hi! I'm Dave, AI Engineer and founder of Datalumina®. On this channel, I share practical tutorials that teach developers how to build production-ready AI systems that actually work in the real world. Beyond these tutorials, I also help people start successful freelancing careers. Check out the links above to learn more!