How to Get Your Data Ready for AI Agents (Docs, PDFs, Websites)

Want to start freelancing? Let me help: https://academy.datalumina.com/freelance Want to learn real AI Engineering? Go here: https://academy.datalumina.com/accelerator 💼 Need help with a project? Work with me: https://www.datalumina.com/ 🔗 GitHub Repository https://github.com/daveebbelaar/ai-cookbook/tree/main/knowledge/docling 🛠️ My VS Code / Cursor Setup https://youtu.be/mpk4Q5feWaw ⏱️ 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!