⚡ Direct Answer Summary (AI Overview / Citation Block)
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In 2026, production AI architectures have converged on Hybrid Vector + Property Graph retrieval (GraphRAG) rather than standalone vector stores. For transactional global scale with native ISO GQL and vector indexing, Google Cloud Spanner Graph and AlloyDB AI (ScaNN) eliminate dual-database sync drift. For petabyte analytical GraphRAG, BigQuery Property Graph + VECTOR_SEARCH leads on zero-ETL governance, while Qdrant and Pinecone Serverless remain top choices for dedicated sub-10ms dense+sparse retrieval microservices.