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公式動画＆関連する動画 [How to Configure and Test a RAG Tool in Oracle AI Data Platform]
Configure a retrieval-augmented generation tool in Oracle AI Data Platform to give AI agents relevant information from an existing knowledge base when completing tasks. Improve knowledge retrieval by selecting the right content, retrieval limits, and model settings, with additional details and tutorials available in the resources linked below.
In this tutorial, see how to configure and test a retrieval-augmented generation tool in Oracle AI Data Platform to retrieve relevant information from an existing knowledge base. The tutorial uses an expense compliance scenario in which an AI agent needs access to company expense policies to support its review. It covers adding the tool from the tool templates, selecting the region, model, and knowledge base, and describing the information the tool should retrieve. You’ll also see how to set the maximum number of documents returned based on the knowledge base’s chunking configuration and the amount of context the agent needs. The tutorial then shows how to adjust the temperature setting to control response variability and test the tool independently with a request for employee meal policies. By reviewing the returned content for relevant policy information, you can validate retrieval and revisit the tool or knowledge base configuration when needed before connecting the tool to an AI agent workflow. Additional tutorials and resources on using Oracle AI Data Platform are available in the links below.
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