The meteoric rise of ChatGPT has ignited widespread interest in integrating AI capabilities into everyday applications. Developers are eager to enhance their websites with AI-driven search and Retrieval Augmented Generation but may be unsure of where to start. What if you could search through any type of unstructured data - text, images, videos, even DNA - all with a single natural language query?

Enter the new generation of AI-native databases that leverage deep learning models to unlock this potential. In this talk, we'll explore the foundational building blocks of AI search, including large language models (LLMs), vector embeddings, and vector databases. Through a live-coding demo, I'll walk you through the process of adding AI-powered search to an app using Weaviate, an open-source vector database. Whether you're working with Angular, React, Vue, or vanilla JavaScript, you'll leave equipped to build the future of search. Join me on this exciting journey!