Why developers are betting on Postgres for AI

Developers are increasingly choosing Postgres for AI applications because it can connect models to enterprise structured and unstructured data.

By grounding outputs in real data, Postgres can help reduce hallucinations while serving as a practical default for AI workloads.

Its vector capabilities, including pgvector, let teams handle embeddings and vector search without specialized proprietary databases.

The article argues that broad adoption and open-source flexibility make Postgres a strong alternative to vendor lock-in in AI stacks.