AlloyDB is Google Cloud’s PostgreSQL-compatible database claiming 4x faster than standard PostgreSQL for transactional workloads and up to 100x faster for analytical queries. AlloyDB AI provides integrated vector search with pgvector extension and direct Vertex AI integration for embeddings generation within SQL. Pricing starts around $0.10/hour for smallest instances plus storage ($0.0004/GB/hour). AlloyDB Omni extends the engine to run anywhere (on-premises, other clouds, edge) with same performance characteristics. Key features include columnar engine for analytics acceleration, intelligent caching, and ML-based vacuum optimization. The Vertex AI integration enables EMBEDDING() function calls directly in SQL queries without external API calls. AlloyDB for AI workloads combines transactional database with vector similarity search—useful for RAG applications maintaining operational and semantic data together. Page should cover: PostgreSQL compatibility level, performance claims verification, AlloyDB AI vector search setup, Vertex AI integration examples, pricing model, AlloyDB Omni deployment options, comparison with Cloud SQL PostgreSQL and Aurora, and use cases for AI applications.