Closed liborweigl closed 11 months ago
Hi @liborweigl, please note that this is a class that's part of the integrated vectorization feature which is currently in preview so it will not be part of the latest stable version 11.5.0.
You should use Azure.Search.Documents Version="11.5.0-beta.5" to use this feature. As for the timeout, you can set the timeout to be something greater than the default such as 30 minutes. See: https://learn.microsoft.com/dotnet/api/azure.search.documents.indexes.models.indexingparametersconfiguration.querytimeout?view=azure-dotnet-preview
Additionally, it's possible you are exceeding your AOAI rate limit. Perhaps you can try increasing the rate limit to the max amount on your AOAI deployed embedding model.
Any idea what is replace for
AzureOpenAIEmbeddingSkill
. It has been removed it from Azure.Search.Documents Version="11.5.0" https://github.com/Azure/azure-search-vector-samples/blob/ca4809484908f571259afe48fedc099ee0bf710e/demo-dotnet/DotNetIntegratedVectorizationDemo/Program.cs#L86I also when I was trying to run this demo with Azure.Search.Documents Version="11.5.0-beta.5" Skills created from demo were timing out in Azure AI search.
Should I create endpoint for embedding and not use this
AzureOpenAIEmbeddingSkill
. What should is the best precise for this scenario?