Natural Language Database Queries
Users ask questions in plain language and agents translate them to SQL for PostgreSQL.
Connect PostgreSQL databases for direct querying, data sync, and real-time change data capture.
Connect PostgreSQL events to AI agent workflows with pre-built triggers and actions.
Fires when a new row is inserted into a monitored table.
Triggers when a row is modified in a tracked table.
Fires when a row is deleted from a monitored table.
Triggers when the result of a saved query changes.
Fires when the database connection encounters an error.
Runs a SQL query against the PostgreSQL database.
Inserts a new row into a specified table.
Modifies an existing row based on conditions.
Executes a PostgreSQL stored function or procedure.
Creates a database view for agent consumption.
Users ask questions in plain language and agents translate them to SQL for PostgreSQL.
Agents watch for data changes and trigger downstream workflows automatically.
Generate real-time operational insights from PostgreSQL application databases.
Yes. The integration uses connection pooling with configurable pool sizes for optimal performance.
Yes. Write access is configurable and can be restricted to specific tables and operations via role permissions.
The connector uses PostgreSQL logical replication slots for efficient real-time CDC without polling.
Create AI agents that connect to PostgreSQL with natural language — no code required.
Learn moreBuild multi-step workflows that automate actions across PostgreSQL and other systems.
Learn moreEnforce permissions, audit trails, and compliance on every agent action in PostgreSQL.
Learn moreSchedule a personalized demo to see how assistents’s AI agents integrate with PostgreSQL for your organization.