Omni-Data AI on Postgres
One Database for Relational Data, Documents, and AI Vectors — No, Really. For a prospect who hasn’t engaged with EDB or Postgres specifically yet, the idea of consolidating relational records, JSON documents, and AI vector embeddings into a single database sounds like it should involve trade-offs. This whitepaper shows why it doesn’t: it lays out how Postgres, combined with the pgvector extension and EDB Postgres AI Factory’s AI Pipelines, provides a genuine omni-data foundation where all three data types are stored and queried together, without bolting on a separate specialized vector database or document store. It’s a technically credible, vendor-neutral-feeling entry point built around a concrete architecture rather than a sales pitch — making it a strong download for a data or platform lead evaluating how to support AI initiatives without fragmenting their data estate further.
White Paper from 