课程: Building in Azure AI Foundry

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Use your data

Use your data

课程: Building in Azure AI Foundry

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Use your data

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- [Instructor] Let's look at using your data to enhance AI-generated results. This prompt strategy is based on the architecture approach called retrieval-augmented generation, or RAG. It enables us to add domain-specific knowledge to our AI models. For instance, this is a sample Excel file, which has a list of California tour packages, with information like package name, description, duration, price, and a group discount rate. We can upload this file to our Explore California application so AI can help users quickly find a suitable tour packages. To add a user data to Azure AI Foundry, we need to connect Azure AI Search. The general workflow is like, first, user data are ingested into Azure AI Search. The Azure AI Search provides an index with several search types. Next, the prompt plus the knowledge gained from our data are sent to the AI model. Finally, the AI model generates the response empowered by the knowledge we provide. Now, let's do a quick demo. Here's the Chat playground…

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