TEQnation 2024: Give your apps superpowers with an AI-native database – JP Hwang

Databases are going all-in on AI. We all know that AI is “the” hot new thing. AI is fast transforming not just the tech world, but our world in general. Who among us hasn’t had a relative, friend, or Uber driver ask us about this in the last year? But what’s AI got to do with databases? As it turns out, quite a lot. The right database can help your application, business, or customer get more out of AI, faster. What’s more, the right database can even make the AI models themselves work better. That’s why existing databases are scrambling to support AI use cases, and developers are looking for databases that offer features and deep integration with various AI models, capabilities and power AI-powered applications. This talk will cover all this through the lens of it means for a database to be “AI-native”. AI-native databases are designed to empower builders and developers to build AI-powered tools. We’ll talk about how they enable better search, integrate with generative AI models, and improve generative models’ capabilities. We’ll also talk about the key pieces of technology that enable these value-adds, like vector indexes, vector and hybrid search, retrieval augmented generation, and multi-tenancy. Of course, there’ll be live demos and examples to round out the talk, too. So join us to learn why an AI-native database should be an integral part of your AI tech stack.

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