I'm trying to make a knowledge base and I'm getting an Http 500 response when I try to test the KB directly in the platform qnamaker.ia furthermore I published and queried with postman but looks like a problem with the service, Does anyone know if there is any general error with the service?
I'm trying to upload a (.PDF) file with a standard S price, I tried with different locations but didn't work.
We are able to create knowledge base and test in the qnamaker.ai. Please find the snapshot for the same. Please feel free to retry.
Related
I was working with Microsoft Azure REST API(https://learn.microsoft.com/en-us/rest/api/deviceupdate/2021-06-01-preview/device-update/get-update#code-try-0) and found that the don't have any proper documentation or may be I was unable to find it. In the end I was unable to find it, so if you can guide me that will be helpful. I need instanceID to be provided in below path
https://{endpoint}/deviceupdate/{instanceId}/updates/providers/{provider}/names/{name}/versions/{version}?api-version=2021-06-01-preview
I have tried using Instance name from below image and also resource id but no use.
I request Microsoft to Please stop providing half Knowledge.
What is meaning of blue here? can I write my favourite colour? Also there should be an error message if something went wrong.
I'm trying to setup an instance of Azure time series insight with a PAYG(preview) tier. But this is the result I get:
It seems that the deployment wasn't successful after all. Even though it worked while following the tutorial from here. When I try "Go to environment", I get notified that I'm "Unable to open the uri. Please try again later.".
Other colleagues tried and got the same result. Is this a bug? Or did we miss something?
Any help or news would be welcome.
Thank you
Quentin
I keep getting the attached runtime error in QnA maker. I could access the Knowledge base fine after creating it but after about an hour i started getting the below error.
Error Example
I have tried everything including trying to delete the knowledge base, create a new one etc and it doesn't delete or create just throws the same error.
Please can someone give me some advice or help. Microsoft recommended I submit a question here.
Thanks
Chris
I faced the smae issue, and to solve it I tried to:
First deleted the KB from the My knowledge bases tab.
Then went to the https://portal.azure.com and deleted the qna resources.
Created a new qna market resource, but I disabled App insights.
Then created a new KB.
Then it worked
I faced the same issue from last 3-4 days, today its working fine.
I have deleted the KB from the My knowledge bases and created new one. seems like something update comes from Microsoft. today when i creating KB then found something new in KB UI like default template. below is the url for reference.
https://learn.microsoft.com/en-us/azure/cognitive-services/qnamaker/how-to/chit-chat-knowledge-base
its working fine now.
Whenever I test my bot using the "test connection to your bot" feature, it only response with "internal service error" and a 500 status code. It didn't do this yesterday, and I havent changed anything since then.
What more, the bot works fine when I run it on the bot framework emulator on my local machine.
Whats more, whenever I try to access the logs for my bot in azure, I get an error code saying that my app isn't running, even though according to the azure portal it is.
What's causing this?
Is there any way to fix this?
Is there any way you can share the bot with us (or rather botId) so we can look in the logs?
have you tried talking to your bot in the cloud using the emulator? You can change that localhost endpoint to point to your cloud service and try from there.
Had a similar problem to this. But changing the endpoint did nothing. Linked to the solution we came upon here: https://stackoverflow.com/a/36789806/1152015
When I try to test my Azure ML model, I get the following error: “Error code: InternalError, Http status code: 500”, so it appears something is failing inside of the machine learning service. How do I get around this error?
I've run into this error before, and unfortunately, the only workaround I found was to create a new ML workspace backed by a storage account that you know is online. Then copy your experiment over to the new workspace, and things should work. It can be a bit cumbersome, but it should get rid of your error message. With the service being relatively new, things sometimes get corrupted as updates are being made, so I recommend checking the box labeled "disable updates" within your experiment. Hope that helps!