Managed PostgreSQL + Retrieval

Polygres documentation

Polygres gives your team a managed PostgreSQL database with graph, pgvector, TSVector full-text, Fuzzy text, hybrid retrieval, and pgContext AI Search over the same data. PostgreSQL stays the source of truth — one operational data store for application data and retrieval.

What is Polygres? Product fit, capabilities, and how the retrieval modes complement each other.Quickstart The shortest complete path from account to a verified retrieval query.Polygres CLI Terminal workflows for projects, imports, migrations, and retrieval setup.

Use standard PostgreSQL connections for application reads, writes, migrations, and imports. Use the dashboard for interactive retrieval setup and testing, or use the CLI, API, and Python SDK for pgContext collection workflows and application search.

Polygres is designed for SaaS teams that want one operational data store for application data and retrieval. PostgreSQL remains the source of truth, including tsvector, pg_trgm, pgvector, and native pgContext collections.

One database, every retrieval mode

Every mode reads the same project rows your application just wrote — no separate systems to provision or keep in sync.

GraphFollow relationships across records — a customer, their account, tickets, messages, and related incidents.

Start here

New to the product? Read What is Polygres?.
Ready to create a project? Follow the Quickstart.
Building a shared team workspace? Learn the Key concepts, starting with organizations and roles.
Deciding how your team and application should connect? See Dashboard, API, and database access.
Working from a terminal? Use the Polygres CLI for project setup, imports, migrations, and retrieval configuration.
Want a coding agent to recommend and build a setup from your own data? Start with Polygres Agent Skills.
Writing individual application records without opening a database connection? See Runtime Row Writes.
Building AI Search? Start with the pgContext CLI guide and pgContext API reference.