Exactly what I wanted to say! Seth always asks the right clarifying questions in the simplest way and summarizes the whole point at the right level of granularity! 🙌👏
I would really admire if MS stops changing the names of their products for lets say the next 3-5 years. This would make everyone's life so much easier.
Great video, Seth. Your insights on Azure AI Search always make complex topics clearer. I've been using Myko Assistant for its efficient searches and email-based results, which I find much easier than navigating platforms like others. It really complements the advanced retrieval capabilities you discussed.
Implementing this is .NET is an absolute nightmare, you guys left absolutely NOTHING in the documentation, no examples, nothing. I am getting error 400 bad request when trying to insert data into the vector DB all the time, and if I serialize my chunk into json like it tells me, it throws deserialization errors. What kind of software is that?
one question - When you delete few paragraphs present in documentation, then those exact chunks present in azure AI search should also be deleted (is this taking care). second question - When you update few paragraphs in documentation, those those exact chunks should be updated, or old chunks should be deleted and new have to be created How well indexer is handling this? I have been asking this question to various Microsoft developers in AI search no one is answering
Great video thanks. I saw a similar question on another video. Can you integrate rating for the generates answers of your model with Azure AI search? Thumbs up and down and feed this back to the model? I am not talking about the playground but after I deployed the model.
Just quick question on Azure AI Search, I have around 1 TB of document data, each document is approx 8MB. During enrichment it tooks 2 minutes for a document seems it will take year to complete the indexing any suggestion on this ?
Indexer: Could not execute skill because Web Api skill response is invalid (exercise 5, task 3.22). I am getting this error while trying to run the integrated vectorization python program. Seems some issue with the AzureOpenAIEmbedding skillset. The error is coming due : Error while sending the Request Please help me out with this
Seth you're so good at pointing out all the useful things and summarizing the slightly complicated parts 👏🏼👏🏼
Exactly what I wanted to say! Seth always asks the right clarifying questions in the simplest way and summarizes the whole point at the right level of granularity! 🙌👏
I would really admire if MS stops changing the names of their products for lets say the next 3-5 years. This would make everyone's life so much easier.
haha..Agreed..and their product names are so similar that they are hard to differentiate ex: Azure AI Studio, Azure Open AI, Azure AI Service.
Great video, Seth. Your insights on Azure AI Search always make complex topics clearer. I've been using Myko Assistant for its efficient searches and email-based results, which I find much easier than navigating platforms like others. It really complements the advanced retrieval capabilities you discussed.
Fascinating thanks folks!
Great stuff guys
is it just for pdf files in blob? how about sharepoint files?
how do you set up the credentials to start with.
Implementing this is .NET is an absolute nightmare, you guys left absolutely NOTHING in the documentation, no examples, nothing. I am getting error 400 bad request when trying to insert data into the vector DB all the time, and if I serialize my chunk into json like it tells me, it throws deserialization errors. What kind of software is that?
how does chunking performed? By fixed amount of tokens or by semantic meaning of each chunk?
Any github repo, to refer the code?
one question - When you delete few paragraphs present in documentation, then those exact chunks present in azure AI search should also be deleted (is this taking care).
second question - When you update few paragraphs in documentation, those those exact chunks should be updated, or old chunks should be deleted and new have to be created
How well indexer is handling this? I have been asking this question to various Microsoft developers in AI search no one is answering
Great video thanks. I saw a similar question on another video. Can you integrate rating for the generates answers of your model with Azure AI search? Thumbs up and down and feed this back to the model? I am not talking about the playground but after I deployed the model.
Just quick question on Azure AI Search, I have around 1 TB of document data, each document is approx 8MB. During enrichment it tooks 2 minutes for a document seems it will take year to complete the indexing any suggestion on this ?
How do you get access to the prerelease of search documents 11.4.0b12?
Copy the file from whl folder under python-demo
Indexer: Could not execute skill because Web Api skill response is invalid (exercise 5, task 3.22). I am getting this error while trying to run the integrated vectorization python program. Seems some issue with the AzureOpenAIEmbedding skillset. The error is coming due : Error while sending the Request
Please help me out with this
Sounds a bit like “Semantic Rancor” which is what I do when my code doesn’t work