How to query your PostgreSQL database with AI

Database querying has historically been a skill limited to data analysts and engineers who know SQL. However, thanks to a new generation of Large Language Models (LLMs), reading and understanding complex schemas has never been easier.

What is an AI Database Agent?

An AI Database agent bridges the gap between natural language questions (“How many active users signed up last week?”) and the database backend. It securely connects to your PostgreSQL instance, reads the schema (without reading the private data), and writes valid SQL on the fly.

Why traditional BI tools fall short

Tools like Tableau or Metabase require pre‑built dashboards and manual SQL. When a stakeholder asks an ad‑hoc question (“Show me churned customers by region”), you either write a new query or wait for engineering help. An AI agent solves this instantly.

Best practices for using AI on your Postgres data

1. Use read‑only database users – Never give the AI write permissions. Your text‑to‑SQL tool should only execute SELECT statements.
2. Keep your schema clean – Column names like cust_id confuse LLMs. Use customer_id for better accuracy.
3. Provide a few examples – If your domain has tricky logic (e.g., “active” means logged in within 7 days), include that as a hint.

How our tool fits in

You bring your own OpenAI or Anthropic API key, connect your PostgreSQL URL, and start asking questions. Results appear in seconds.

👉 Try it free – no credit card required. Just connect your DB and ask your first question.