AI for PostgreSQL

The world's most advanced open-source relational database, now with an AI layer.

PostgreSQL is the gold standard for relational databases. It powers everything from small startups to Fortune 500 companies with its rock-solid reliability, advanced feature set, and extensibility. With support for JSON, full-text search, geospatial data via PostGIS, and hundreds of extensions, PostgreSQL handles virtually any workload you throw at it.

AI for Database connects directly to your PostgreSQL instance and translates plain-English questions into optimized SQL. Whether you need to join across dozens of tables, run window functions, or aggregate time-series data, the AI understands your schema and writes the query for you.

Stop waiting for an engineer to pull a report. With AI for Database, anyone on your team can explore PostgreSQL data in seconds, build live dashboards, and set up alerts — all without writing a single line of SQL.

What's supported

Full-featured AI querying tailored for PostgreSQL.

Natural language to optimized PostgreSQL queries

Full support for joins, CTEs, window functions, and subqueries

Schema auto-discovery with column-level context

JSONB and array column querying

PostGIS geospatial query support

Read-only connection mode for production safety

One-click dashboards from any query result

Scheduled reports delivered to Slack or email

Example queries

Ask in plain English. AI for Database writes the PostgreSQL query.

“What were our top 10 customers by revenue last quarter?”

SELECT c.name, SUM(o.total) AS revenue
FROM customers c
JOIN orders o ON o.customer_id = c.id
WHERE o.created_at >= date_trunc('quarter', now()) - interval '3 months'
  AND o.created_at < date_trunc('quarter', now())
GROUP BY c.name
ORDER BY revenue DESC
LIMIT 10;

“Show me the monthly sign-up trend for the past year”

SELECT date_trunc('month', created_at) AS month,
       COUNT(*) AS signups
FROM users
WHERE created_at >= now() - interval '12 months'
GROUP BY month
ORDER BY month;

“Which products have never been ordered?”

SELECT p.name
FROM products p
LEFT JOIN order_items oi ON oi.product_id = p.id
WHERE oi.id IS NULL
ORDER BY p.name;

“What is the 7-day rolling average of daily revenue?”

SELECT day, revenue,
       AVG(revenue) OVER (
         ORDER BY day
         ROWS BETWEEN 6 PRECEDING AND CURRENT ROW
       ) AS rolling_avg
FROM (
  SELECT date_trunc('day', created_at) AS day,
         SUM(total) AS revenue
  FROM orders
  GROUP BY day
) sub
ORDER BY day DESC
LIMIT 30;

Get started in minutes

Enter your PostgreSQL host, port, database name, and credentials in the connection form.

AI for Database connects using a read-only role — we recommend creating a dedicated user with SELECT-only permissions.

The AI scans your schema, tables, and column comments to build context for accurate query generation.

Ask your first question in plain English and get results in seconds.

Optionally enable SSL/TLS or connect through an SSH tunnel for additional security.

Use cases

Popular ways teams use AI for Database with PostgreSQL.

Let product managers pull cohort analyses and retention metrics without engineering tickets.

Build executive dashboards that update from live PostgreSQL data every hour.

Monitor inventory levels and get Slack alerts when stock drops below thresholds.

Generate weekly sales and revenue reports automatically delivered to stakeholders.

Empower customer success teams to look up account data and usage stats instantly.

Also supported

🐬

All databases

Ready to query PostgreSQL with AI?

Connect your PostgreSQL database and start asking questions in plain English. Free to start.

Start free View pricing