Create Context-Rich Agents Using Snowflake Intelligence

For AI and data engineers, developing reliable AI agents, RAG chatbots and other agentic systems require high-quality data and retrieval from a variety of sources. However, accessing that raw data can be challenging, due to gated datasets, brittle scraping scripts and time spent on data cleaning, which slows down production-ready deployments.

But there is a better way to incorporate licensed data into your AI and agentic systems.  Instead of worrying about data scraping, you can focus on building smarter, more reliable agents.

In this virtual hands-on lab, you’ll build an agent using Snowflake Intelligence and enrich it with external content from Snowflake Marketplace. We’ll introduce how Cortex Knowledge Extensions (CKEs) can provide quick access to AI-ready content from trusted external sources.

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, with compliance and enterprise-grade security in place