Author: Domenico di Salvia

In this post, we explore several approaches for automating the generation of vector embedding in Amazon Aurora PostgreSQL-Compatible Edition when data is inserted or modified in the database. Each approach offers different trade-offs in terms of complexity, latency, reliability, and scalability, allowing you to choose the best fit for your specific application needs.

Amazon RDS Proxy is a fully managed, highly available database proxy for Amazon Relational Database Service (Amazon RDS) and Amazon Aurora that makes applications more scalable, secure, and resilient to database failures. With RDS Proxy, you can handle unpredictable surges in database traffic that might otherwise cause issues due to using all available connections or creating new connections at a fast rate. One of the main benefits of RDS Proxy is that it can improve application recovery time while efficiently and automatically handling database failovers, which is valid with both planned and unplanned failovers. For more details, see Improving application availability with Amazon RDS Proxy. For common use cases where RDS Proxy is beneficial, refer to Amazon RDS Proxy FAQs. In this post, we show how to securely and efficiently connect applications in different AWS accounts to an RDS database instance or Aurora cluster using RDS Proxy, AWS PrivateLink, and Network Load Balancer.