Create context-rich agents using Snowflake Intelligence and Cortex Knowledge Extensions

Reliable AI agents, RAG chatbots, and other agentic systems require high-quality data from a variety of sources. For most developers, accessing that data is a considerable pain. Gated datasets, brittle scraping scripts, and numerous hours spent on cleaning and processing raw data are just some of the challenges that slow down or block AI outcomes.

This hands-on lab introduces a better way to incorporate properly licensed data into your AI and agentic systems. You’ll learn how Cortex Knowledge Extensions (CKEs) provide quick access to AI-ready content from trusted external sources. Instead of worrying about data scraping and plumbing, you can focus on building smarter, more reliable agents.

In this lab, you’ll build an agent using Snowflake Intelligence and enrich it with external content from Snowflake Marketplace. You’ll learn how to:

• Create and configure agents with custom capabilities using Snowflake Intelligence
• Leverage pre-processed, publisher-quality data instead of unreliable scraping
• Build agents that reason over trusted datasets and take actions

You’ll see how this is all done with compliance and enterprise-grade security in place.

This lab is perfect for developers, data engineers, and AI engineers who want to build powerful AI systems without much less data engineering overhead.