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7 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.

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

7 months ago

Build a Data Agent with Dynamic Data Access | Sema4.ai Studio Tutorial

7 months ago

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

8 months ago

Dynamic Data Access: Zero-Copy Enterprise Data with Sema4.ai

1 year ago

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