Context Engineering with SQL: How Streaming Databases Power Smarter AI
Introduction
Your AI agent just recommended a product that the customer returned last week. The support chatbot apologized for a shipping delay that was resolved two days ago. The fraud model flagged a transaction as suspicious based on an address th...
risingwave.com13 min read
Ali Muwwakkil
In practice, one of the most overlooked aspects of AI implementation is the freshness of context data, especially in rapidly changing environments. Streaming databases are crucial here, allowing real-time context updates that keep AI agents from making outdated decisions. We've seen that integrating these databases effectively requires not just technical setup but also aligning data streams with business logic to ensure AI insights are always relevant. - Ali Muwwakkil (ali-muwwakkil on LinkedIn)