Vector search is everywhere—AI search, recommendations, chatbots, you name it. And Oracle Database now has it built-in. Great!
…except most explanations involve enough math to make you question your life choices.

This session takes a different route.

We start with the absolute basics: what an embedding is, why it looks like a barcode for meaning, and how the database magically knows which things are “close” to other things. No Greek letters. No 500-dimensional headaches. Just clear, visual explanations that finally make vectors click.

Then we take all that clarity and plug it straight into APEX. You’ll see how to generate embeddings, store them in Oracle, and expose a semantic search feature in APEX that feels modern, fast, and shockingly easy. You’ll leave knowing how it works, why it works, and how to brag about it to your colleagues.

Perfect for anyone who has looked at vector examples online and thought, “There has to be an easier way.” There is. It’s this session.

Curious about AI-powered search but tired of explanations that sound like math class?
This session turns vector search into something you’ll actually understand—and enjoy. I break down the concepts with humor and clarity, then show you how to build real semantic search in APEX using Oracle’s vector features. You’ll walk out smarter, entertained, and ready to implement it yourself.

Key Takeaways

- The “aha!” explanation of embeddings you wish you’d heard earlier
- How similarity search really works—minus the academic trauma
- How to generate and store vectors in Oracle Database
- How to integrate semantic search into APEX without tears
- Practical patterns, demos, and code you can copy with pride
- A new superpower: explaining vectors to others without scaring them