dhaksr

Results 8 comments of dhaksr

Azure Document Intelligence are Optional but not in Option Part of .env File

me too. the documentation is not clear. The one click deploy should have created the document intelligence.

Allow user to choose between five query types: simple, semantic, vector, simple-hybrid and simple-hybrid-vector from both /custom and /byod endpoints

My vote would be for the client side configuration. allow the end user to experiment with search type would be good.

Allow user to choose between five query types: simple, semantic, vector, simple-hybrid and simple-hybrid-vector from both /custom and /byod endpoints

My vote would be for the client side configuration. allow the end user to experiment with search type would be good.

use 1Click to deploy from Azure git repo

> Hi there, if you would like quick and rapid deployments from your local machine, you should clone the repo and use the DevContainer, you would then use `azd up`...

use 1Click to deploy from Azure git repo

Yes pl On Fri, Sep 13, 2024, 2:27 AM Ross Smith ***@***.***> wrote: > Hi @dhaksr - can we close this issue now? > > — > Reply to this...

[BUG] Cloud Shell token API does not support https://cognitiveservices.azure.com

Is this fixed? I have hit the problem in https:://search.azure.com is not supported MSI token error, when I execute via cloudshell. The error I get its below. `` AzureDeveloperCliCredential.get_token failed:...

Vector search gives SSL WRONG VERSION Number error when used within corporate firewall

Just to add more details, i suspect the problem is somehow the proxy setting in corporate network is interfering. Is there any way to say to the Azure APIs to...

Error in Azure Portel Index: This index contains a vectorizer created by previous API versions that doesn't include the 'modelName' field. We recommend you to migrate by adding 'experimental' value automatically to the field to restore full portal functionality.

I am on Azure search 11.6.03b and removed the model name.. But I agree. they should fix this and documentation properly `` vectorizers=[ AzureOpenAIVectorizer( name="myOpenAI", kind="azureOpenAI", azure_open_ai_parameters=AzureOpenAIParameters( resource_uri=azure_openai_endpoint, deployment_id=azure_openai_embedding_deployment, api_key=azure_openai_key,...