Three Ways to Use Neon for AI
SMRTR summary
Neon's Postgres database is being used in three key AI workflows: powering vector-based apps with pgvector, managing databases from AI-assisted coding tools, and serving as the backend for agents deploying full-stack applications. Neon offers features like autoscaling, branching for safe experiments, and multi-project architecture to improve performance and developer experience in AI-driven applications.
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