Beyond pgvector: Why Production AI Demands Native Vector Databases

As LLM applications scale from prototypes to production, traditional database extensions often fail to meet the performance requirements of complex hybrid queries. Shifting to AI-native architectures is essential for developers seeking low-latency retrieval and robust metadata filtering in production-grade RAG systems.