You can store, query, and manage Postgres vector embeddings for powerful similarity searches without sacrificing performance or maintainability.
Keeping embeddings in a relational database is often preferable to a separate vector database, especially when you're already managing structured data and need vector search alongside filters, joins, or business logic.