Are you still relying on traditional, keyword-based search? In a world of unstructured data and user intent, those methods are a dead end. Join us for a hands-on technical session that will show you how to build the next generation of intelligent, context-aware applications.
This webinar dives into a real-world product search feature for an online store, directly comparing the limitations of a classic SQL approach with the power of modern vector search. We will walk you through an end-to-end, reproducible project that leverages native MariaDB vector capabilities in MariaDB Cloud, the popular LangChain framework for Python, and Google's Gemini LLM.
You will learn how to generate high-dimensional vector embeddings and store them directly within your MariaDB database. By the end of this session, you'll see a side-by-side comparison that proves why vector search is the future of intelligent data retrieval and how MariaDB can simplify your technology stack by acting as a single, all-in-one data platform.
