In this session, we will explore best practices for leveraging serverless SQL databases to support the sophisticated memory requirements of AI agents. We will delve into essential technical requirements, including schema design considerations, efficient indexing strategies, consistency vs. availability trade-offs, handling real-time updates, and seamless integration with AI workflows. Additionally, we'll discuss common pitfalls, performance optimization techniques, and how to achieve cost-efficiency without sacrificing responsiveness or data integrity.
Attendees will gain actionable insights into architecting robust, scalable memory storage solutions that enhance the capability, adaptability, and overall effectiveness of AI agents in production environments.
