Building a Scalable RAG Backend with Cloud Run Jobs and AlloyDB

This content addresses the challenge of scaling RAG pipelines from small datasets to millions of items, where sequential embedding generation becomes a bottleneck. It proposes an industrial-strength solution using Google Cloud services like BigQuery, Cloud Run Jobs, Vertex AI, and AlloyDB for parallel processing and efficient infrastructure provisioning.