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Azure Logic App built-in template. This is so that you don’t have to develop your own private workflow. Be aware which you could build your personal in addition. However, this isn't included as portion of the web site article. This tutorial displays how you can index data files that you incorporate after the workflow creation in an Azure Information share.
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If you need Azure AI Research to also vectorize your facts at query time, as opposed to accomplishing this Procedure from the orchestrator conclusion from your RAG application, You need to use the next JSON definition for your personal index.
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If you use another Azure OpenAI embedding model or a unique dimensionality, it's essential to alter the index definition accordingly before index generation.
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