How to Auto-Refresh RAG Vector Stores Using AWS EventBridge and Node.js 22

Stale embeddings in retrieval-augmented generation (RAG) systems can cause AI models to return outdated or factually incorrect answers, often going unnoticed until users complain. The issue arises when source documents are updated but the corresponding vector store embeddings are not recomputed, leaving the system to retrieve obsolete content. A technical guide published on DEV Community outlines how developers can use AWS EventBridge Scheduler to automate periodic vector store refreshes in a Node.js 22 service, eliminating the need for manual intervention. EventBridge Scheduler fires events on a defined timetable — either via rate expressions or cron jobs — targeting an HTTPS endpoint that triggers the re-embedding process. The guide also highlights a common pitfall: failing to explicitly set the scheduleTimezone parameter, which can cause scheduled jobs to run at unintended times across different regions.