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公式動画＆関連する動画 [How to Configure and Test a SQL Tool in Oracle AI Data Platform]
Configure and test a SQL tool in Oracle AI Data Platform to give AI agents controlled access to structured business data through predefined, parameterized queries. Build more reliable agent workflows by validating query results and explore additional training and technical details in the resources linked below.
In this tutorial, see how to configure and test a SQL tool for an AI agent in Oracle AI Data Platform. The SQL tool provides controlled access to structured business data through predefined, parameterized queries, helping an agent retrieve the records it needs as part of a workflow. The tutorial covers selecting a query dialect based on the data source, including Oracle SQL for an external database accessed through an external catalog and Spark SQL for a standard catalog. It also shows how to select the appropriate catalog and schema, add a tool description and SQL query, review query parameters, add parameter descriptions, confirm data types, and limit the number of returned rows. Testing the SQL tool with known data helps confirm that the query returns the expected records before the tool is incorporated into an agent workflow. These steps help data and AI professionals configure reliable access to relevant structured business data for AI agent workflows. Additional Oracle AI Data Platform training, videos, and technical resources are available in the resources linked below.
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