How to Get Your Data Ready for AI Agents (Docs, PDFs, Websites)
Want to get started as a freelancer? Let me help: https://www.datalumina.com/data-freel...
Additional Resources
📚 Just getting started? Learn the fundamentals of AI: https://www.skool.com/data-alchemy
🚀 Already building AI apps? Get our production framework: https://launchpad.datalumina.com/?utm...
💼 Need help with a project? Work with me: https://www.datalumina.com/solutions?...
🔗 GitHub Repository
https://github.com/daveebbelaar/ai-co...
🛠️ My VS Code / Cursor Setup
• The Ultimate VS Code Setup for Data &...
⏱️ 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!
Смотрите видео How to Get Your Data Ready for AI Agents (Docs, PDFs, Websites) онлайн без регистрации, длительностью часов минут секунд в хорошем качестве. Это видео добавил пользователь Dave Ebbelaar 13 Февраль 2025, не забудьте поделиться им ссылкой с друзьями и знакомыми, на нашем сайте его посмотрели 28,080 раз и оно понравилось 1.3 тысяч людям.