From the course: Azure for Developers: Retrieval-Augmented Generation (RAG) with Azure AI

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Creating a skillset and indexer

Creating a skillset and indexer - Azure AI Services Tutorial

From the course: Azure for Developers: Retrieval-Augmented Generation (RAG) with Azure AI

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Creating a skillset and indexer

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- [Instructor] Once you have created an index and set up a data source, the next step is to create a skillset in Azure AI search to access external processing, and an indexer to create our search index. A skill in Azure AI search is an operation that transforms our content in some way. We can view more information about this in Microsoft Learn. Skills are organized into three categories. Built-in skills require an Azure AI services, multi-service account resource, or an Azure OpenAI resource. In our example, we need the Azure AI services multi-service account to recognize location entities in our document and the Azure OpenAI to perform the vector embeddings. These processes have their own separate bill tied to the resource used. You can also create a custom skill using custom code, which you can access through a URI. We will not cover this in this course. Finally, utility skills are internal to Azure AI search, which do not require external resources. These operations are…

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