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Such a great series. Any plans on covering Prompt flow?

Love these videos. Really helpful in getting up to speed with semantic kernel

Thanks for the video! Was struggling to find MusicLibraryPlugin.cs and the other txt. Found them on GitHub in a different repo. But then hit an error at 16:43: "Microsoft.SemanticKernel.KernelException: 'Invalid parameter count for function SuggestSong. 2 were specified but 0 are required.'" So sadly, could not get the demo to work :(

With Semantic Kernel can I build a chat about my own data that is in a database?

Upvoted! Many thanks, this is really helpful ... Hopefully, access restriction to Azure OpenAI will be solved soon ... 🙂

love your videos! keep it up.

Sorry to say i could not follow this video

You are my bro, you are the man, you are the legend

Exquisite presentation skills. Very interesting.

Hey, i found your videos about semantic kernel really helpfull, but i have a problem, i want my gpt35 model to use my azure ai search. the memory thing works and i give the params in the arguments like in the video but it doesnt seem to be able to query my documents. It would be really helpfull if you could make a video about this

This whole series is really amazing! Thank you for creating and sharing this content!

So handsome

Thank you so much for these videos! Few suggestions - it would be nice to see what commands you used to pull the client ID, sub ID and tenant ID. I looked up the commands myself but I don't think they're correct because my workflow kept giving an error saying the Client ID I provided was not correct. I couldn't figure out how to fix it so I ended up just creating a new service principal and was able to authenticate that way. Also, the parameters file has an issue, the "containerAppEnvName" doesn't match the "containerAppEnvironmentName" in the main.bicep file. Lastly, I think it would be helpful to show where you look up some of the resources you used so we know where to find them in the future on our own, like the GitHub articles with the template you used for the workflow YML file.

Great video saved me hours going through sk docs.

Great video Will! Looking to more content on Semantic Kernel and Azure OpenAI.

Any examples of mounting secrets as volumes? None of the documentation actually works.

Thank you so much! Can you make video on API Gateway for Container Apps? Api Management Service, Ocelot etc

Great video Will! The vision accuracy is very impressive, I'm keen to see how it goes understanding contexts of hwnd's to drive OS/Legacy applications interactions. The voice side of things will really help end-user adoption but we'll have to wait on that for now until Azure gets it, but it would be awesome to see how that could be driven by SK. Cheers!

Nice job Will

In this example you ask the question the memory so at that point only this document in what the memory aware of. right? And what algo does the memory use to figure out the answers? Is it just Semantic search or is it Hybrid search?

Great video man, thank you

Greate video. Extremely helpful. I would love to see one using Azure OpenAI for the Serverless mode scenario

thank you very much for this!

Could you kindly share how you deploy the bicep file?

does it allows you to apply taks to uploaded documents? or custom schemes? e.g. imagine I want to import different kind of documents, like pdf but also emails, can I specify the type of document so that if I ask for email contents it search only into emails and not pdfs?

Grt video.. how can we change the kernal memeory web service settings which we have configured through powershell.. is there any file created for this

Thanks!! 🎉

Is the source for this in a git repo somewhere? I am not finding it in your github account. Thanks for the video!

Great video! Would love to see an example of using persistent storage, something like Postgres. Either way, keep up the good work!

Great video Will, Thanks for sharing 🙂

Thanks, mate! Would be great to see more videos with different use cases 😊

Thank you

Where is the usage of Azure Container Registry??

Thanks for the video. It would be great at least if you could share the txt files you used.

Can you provide the structure of the json file?

Can semantic kernel ,be used with local llms ?

Thanks for the great video! Can you put the code on GitHub?

Thanks Will for this. Would this be similar if you are deploying from Azure Pipelines or Gitlab Pipelines with regards to the Workload Identity? Thanks.

Thanks for the info Will. Every tutorial I've seen on Semantic Kernel (including yours) relies on an Azure OpenAI subscription, but you only briefly mention the application process. It seems that us common folk are not eligible for access to Azure OpenAI. Microsoft's application form says it's restricted to approved enterprise customers and partners. Business email address & website are a couple of the required fields. I currently do not have either of these. I read that connecting directly to an OpenAI account is an option. But I have not seen any information online detailing how to do it. Any clues?

Thanks! I was able to work through this to learn bicep/aca! And it worked!!! woohoo! Thanks.

Hi Will. I am new to Semantic Kernel and its planners and there is one thing here I don't understand fully. I though planner is all about model matching the goal (expressed during runtime by human in natural language) with means to achieve this goals, pre-prepared and available to model (functions in plugins). But here you seem to use intermediary step in the form of skprompt; the match is really between pre-prepared skprompt input variables descriptions (which are controlled by programmer, you in this case) and preprepared available functions descriptions, also controlled by programmer. ?

Hi Will, amazing video. You just got a new subscriber ➕. A few suggestions: 1. Do not always start the code from the beginning; build up on the existing videos 2. It would be more interactive if you do not have hardcoded user's input but actually start interacting with the chat by typing messages 3. I would love it if you could show more complex solutions with the automatic planner - e.g. RAG+SQL. Here it is an example: We have an Azure AI search field with all articles from a website (e.g. CNN), how to handle queries: - give me a summary of "title of the particular article" - RAG - Who won Formula 1 2023 - again, RAG simple query against azure AI search - give me all that we published in the last 10 days - this is maybe an SQL query instead Azure search It would be amazing to see how to build an automated planner that can handle all these scenarios

I love your videos, mate, and this is great timing, too; I just integrated my agent into semantic search last night, and the performance difference was huge. And highly recommend this approach for anyone looking for better search performance.

Great tutorial!!! Subscribed!!! Will definitely watch this space.

Could you do one deploying simple container app using the new AVM bicep framework?

Will, this was such a great video! Please make more content on Semantic Kernel! Subbed to your channel thanks!

Hello Will! Really great tutorials. I hope you continue producing more content on SK. I have a question, so we have to use a planner in order to execute a native function based on the users input?

can you please create a tutorial on multiple agents working together to achive some goal Thankyou!!

Really good content! Just working on adding a plugin with Semantic kernel and it helps a lot.

Just discovered your channel, excellent so far, many thanks!!!