From the course: Building Generative AI Apps to Talk to Your Data

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Understanding the semantic model

Understanding the semantic model - Snowflake Tutorial

From the course: Building Generative AI Apps to Talk to Your Data

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Understanding the semantic model

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- Welcome back. Now that everything is set up and ready to go in your notebook, we can get started. But before we move on, I want to talk about semantic models in a little more detail. So let's discuss semantic model structure. A semantic model represents a collection of tables, each of which contains descriptions of specific aspects of the table. Each table described in the semantic model maps to a base table in Snowflake. The semantic model addresses issues related to language differences between business users and database definitions, and this provides semantic details like descriptive names and synonyms that allow cortex analysts to answer questions about data the way you intend. Let's take a look at an example. We'll include information that sales and income are synonyms for revenue. Although sales and income are not the same in general accounting and finance terms, imagine in this particular case, that they happen to be used synonymously by individuals in the business unit…

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