LF Insider: Why AI Databases Don’t Need SQL
Traditional databases were built for structure. AI demands something more. This microcourse introduces the core ideas behind vector databases: systems designed from the ground up for unstructured data, semantic search, and agent-powered interactions. You’ll explore why SQL can’t keep up with AI workloads, what makes vector databases fundamentally different, and how they enable a more human way of working with data. Whether you’re building, exploring, or just curious, this course offers a clear path to understanding the future of data interaction.
Check out additional free content under LF Insider or Resources. For access to exclusive microlearning content (updated weekly), in addition to unlimited access to all of our e-learning courses and SkillCreds, take a look at our THRIVE-ONE Annual subscription.
