Specify Postgres, not just the provider
A provider name alone is not enough to establish compatibility. The Polygres connection path described here is for PlanetScale Postgres. It is not a connection to PlanetScale Vitess or MySQL.
Make the database product and version part of your integration review. This avoids carrying assumptions from one service into the connection settings, replication permissions, or table requirements of another.
Connect a selected slice of data
Choose the source tables needed for your first application workflow. A catalog search project may need product descriptions, specifications, and relationships, while a decision-history application needs a different set of records.
Prepare the direct TLS connection and logical replication access described in the source guide. Confirm the identity requirements for eligible tables before the initial synchronization.
Understand the copy and the source
Polygres brings existing selected data into the synchronized project through a snapshot. Logical replication carries later changes. The source remains where application writes and schema changes belong.
This arrangement separates your existing transaction workflow from the retrieval application. It also means you should budget capacity for the synchronized data and indexes rather than assuming the external database removes that need.
Build retrieval around an actual question
For semantic product discovery, configure an AI Context collection over useful product information. For dependency or compatibility questions, model the relationships that make the answer meaningful.
Inspect the returned source identifiers and evidence before adding answer generation. A useful integration is one where you can follow a result back to the selected source data and explain why it was retrieved.
Explore the next step
Continue with the platform guide. For the current setup and API contract, use the Polygres documentation.