LinkedIn post
Treat vectors as a data capability, not automatically as a separate platform.
Engineering leaders need a practical view of vector database strategy that connects architecture choices to reliability, cost, and governance.
Talking Points
- Dedicated vector stores still matter for scale and latency-sensitive workloads.
- Postgres, Azure AI Search, and hybrid search reduce operational complexity for many teams.
- The right decision depends on sync risk, governance, scale, and retrieval quality.
Call To Action
Invite readers to share the tradeoff they are seeing in their own AI stack.