How Google Cloud databases activate the data layer for production-grade AI

Google Cloud released a series of experiments demonstrating how to use AlloyDB and Cloud SQL to prepare data for production-grade AI: generating text embeddings in the database for semantic search, providing grounding for RAG, and supporting multimodal embeddings for text-image hybrid retrieval. AlloyDB also provides AI functions such as AI.IF, enabling natural language querying to filter and rerank results without data preparation, while QueryData supports generating SQL with conversational language and building data agents.