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You've learned how to create building blocks for creating a snowflake intelligence agent that can intelligently respond to questions by reasoning over the data from cortex knowledge extensions. A consumer builds an application leveraging cortex ai, such as a chatbot, using cortex aisql or the cortex agent api with the cke. This transforms how businesses operate by bridging the gap between data and actionable insights.
You likely have heard the buzz, but how do you get started A cortex search service that is shared on the snowflake marketplace is known as a cortex knowledge extension (cke) This guide will walk you through the process, so you can build and deploy your own snowflake intelligence ai agent in 2 hours.
Enhanced research & financial insights
Enrich internal data with external sources via cortex knowledge extensions, allowing financial analysts to combine portfolio performance with market news, or product managers to analyze customer feedback alongside industry reports for deeper context. Walks through the process that consumers follow to add a cortex knowledge extension to snowflake intelligence This tutorial is intended for users who are familiar with snowflake intelligence and want to learn how to use it with a cke. In this post, i’ll show you how i set up my first snowflake intelligence agent using the snowflake documentation knowledge extension (cke), and then how i extended the same concept to a.
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