Building Real-Time Intelligence: How Lakebase Drives AI and Agents
Imagine this: a fraud-detection agent sees a suspicious transaction and, within 10 milliseconds, fetches the latest features, cross-checks a user’s history, and decides whether to block or allow before the card is swiped again. That kind of responsiveness is what modern AI-native applications demand, yet most data stacks weren’t built for it. Traditional architectures split transactional...
