Skip to content
Image Back to Resources
11 months ago

Build AI agents with named queries in Sema4.ai Team Edition

This step-by-step tutorial shows how to define a named query, configure your Snowflake data source with the Sema4.ai SDK, and build an agent that understands business questions and answers with real data. Prerequisite: Sema4.ai Studio connected to Snowflake.

Up Next:

Build AI agents with named queries in Sema4.ai Team Edition

11 months ago

Read about How to Build AI Agents: Complete Sema4.ai Studio Tour
How to Build AI Agents: Complete Sema4.ai Studio Tour

11 months ago

Read about Build Powerful Data Agents in Minutes for your Snowflake Data | Sema4.ai Studio Tutorial
Build Powerful Data Agents in Minutes for your Snowflake Data | Sema4.ai Studio Tutorial

11 months ago

Read about Building AI Agents in Minutes | Sema4.ai Studio
Building AI Agents in Minutes | Sema4.ai Studio

1 year ago

Build smarter with AI agents

Subscribe to our YouTube channel for deep dives, product demos, and real-world AI automation insights from Sema4.ai, and be the first to see how we’re turning intelligent agents into real business impact.

Get started with enterprise AI agents

Agent Studio

Learn how to build an agent

Sema4.ai Agents

Agents

Transform work with AI agents

Enterprise Edition

Get a demo

Go from idea to agents in minutes