Generative AI app development with Cloud SQL for PostgreSQL
summary
Cloud SQL for PostgreSQL converts to a vector DB with one command installs pgvector, runs on managed Cloud SQL with availability, backups and security, and the published jumpstart uses GKE, Vertex AI and Terraform to create embeddings and a search chatbot — jumpstart builds embeddings and a Gen-powered chatbot — in under 30 minutes. Production tips: use the built-in data cache with cache hit metrics, query insights and end-to-end tracing to measure and optimize similarity-search performance.
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chapters (6)
- 0:00Meet Shambhu & Bala
- 1:18How does Cloud SQL for PostgreSQL support gen AI apps?
- 2:07Why use a vector database?
- 3:26How to get started with Cloud SQL for PostgreSQL for gen AI apps
- 5:06Cloud SQL for PostgreSQL best practices for gen AI apps
- 7:18Wrap up
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