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SQL-Agent

Mit dem SQL Agent können Sie SQL-Abfragen ganz einfach mit natürlicher Sprache verfeinern, wodurch komplexe logische Regeln überflüssig werden und Sie schneller zu wichtigen Datenerkenntnissen gelangen.


What if anyone in your company could query a database as easily as asking a question?

That’s exactly what this SQL Agent does and it’s built entirely using SnapLogic’s AgentCreator.

Instead of relying on back-and-forth between business analysts and data teams, this agent turns a natural language prompt into a full, automated process—planning, query generation, execution, and refinement—powered by a two-tiered AI architecture designed to interpret, iterate, and deliver accurate results.

See an SQL AI agent in action

Watch the video below to explore how this SQL Query Agent works—from initial request to final result, including behind-the-scenes logic and multi-agent coordination.

Video-Miniaturansicht

How it works

The agent shown here is built using SnapLogic’s AgentCreator, our low-code platform for building intelligent, modular agents. Under the hood, this SQL Agent uses a multi-agent design with a two-tiered LLM structure to refine queries on the fly, eliminate trial-and-error, and reduce the need for SQL expertise.

Here’s what’s happening behind the scenes:

  • Planning Agent – The “head chef” of the operation. It receives the user’s request, evaluates responses, and coordinates subagents in a loop until it lands on a confident answer.
Planning Agent – The “head chef” of the operation. It receives the user’s request, evaluates responses, and coordinates subagents in a loop until it lands on a confident answer.
  • Query Agent – Converts natural language into SQL queries. If the first result doesn’t match, it automatically generates variations (e.g. wildcard searches or adjusted keywords).
  • Execution Agent – Runs the generated queries against your database and returns results to the planning agent for further evaluation.
  • Response Agent – Takes the final results and packages them into clear, human-readable responses.
  • Pipe Loop Snap – Allows for iterative querying, enabling the agent to retry, adjust, and refine queries as needed—without user intervention.

Why it matters

This intelligent, layered design means:

  • No rigid logic rules.
  • No deep SQL knowledge required.
  • No more waiting on data teams for every report.

With this kind of automation, business users get faster insights, and technical teams can focus on high-impact work—not helpdesk-style SQL lookups.

Build your own

What you see here is just the beginning. With AgentCreator, you can build and customize your own AI agents from database search to document summarization to IT support. Configure workflows, connect to your systems, and deploy in minutes.

Your enterprise data just got a new interface: natural language.

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