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Great. I have a question. Can we retrive data based on the meaning of the documents? Does vector search allow that?

great video. where can i find the notebook in the repo

Has anyone tried something like this with hundreds or thousands of documents? I wonder how well the querying for relevant documents work, especially within a specific domain. Does it manage to find the most relevant documents?

where are embedding getting stored??locally??same directory??

Great video. Can you clarify how can we filter the contents of AI response based on specific users and specific documents. For example, user 1 is allowed to view Document 1 and, user 2 is allowed to view Document 3 and user 3 is allowed to view Document 2 and 3. In this situation, each user should be allowed to see responses coming from documents that they are allowed to see.

Point of note for enterprise use, be sure to be clear on the Microsoft ToS for Azure OpenAI service and how Microsoft employees can potentially end up reviewing your company data processed in the service if it is flagged by their abuse monitoring service (potential for false positives). Microsoft do make it pretty clear on this in their Azure documentation. There is an exemption form that can be submitted to Microsoft which, if they approve it, will exclude the subscription's OpenAi service from abuse monitoring.

This was a fantastic overview. Thank you!

Great Content :)🙂

If I add a new document in the storage will the model identify it and include in the search or I had to again drop and retrain the model?

This really helps! Thanks.

love your videos

Amazing video, super clear. It the first time I'm starting to understand these areas. Keep up with the great job 💪

since there is no powershell on mac does that means that this code won't work on arm based chips?

Seems expensive. All Microsoft….

Oh man, I have a project that includes searching a ton of small documents. And this is the exact information I need.

Fantastic video!! Your explanation is so clear and thorough. I keep coming back to this video to get a better understanding of Azure Openai and Cognitive Services. Just one question, when you ran the repo locally, did you have to configure the AZURE_PRINCIPAL_ID in your .env file? I was able to get the repo running locally but the API requests are failing... and I'm wondering if its because I'm missing this environment variable that I don't have access to.

hey there, I was experimenting around this and found out that it cannot analyse the context of data. For eg. I trained it on 10-k of amazon and asked which sector made the most profit, it was unable to answer but if I asked the information with a targeted question like profit earned in automation sector, It gave a accurate answer. Any idea how can I work it out

I would like to see a demo using some public database like large city traffic data into ChatGPT. Like some data set with millions of rows, hundreds of tables

I tried this architecture but it works terrible for low volume data. To bug it, you only have to change a few words so that the architecture responds as if there were no information in the knowledge database. And the architecture forces us to split the PDF into pages, so there are more errors when the information is contained in two pages (there is no context in the response when you start with some context and the first page and the pdf has two pages). the only way i solved these problems is to pass the information to gpt to make multiple versions of the document with different layout. Or in an easy way you can use Embeddings with llama-index and remove azure search engine which is not the best way to embed data to gpt.

Amazing, keep it up!

Good. Keep making new contents.

As someone else mentioned, having a comprehensive video tutorial on setting up this demo app would be incredibly beneficial. It would provide us with a deeper understanding of the concept and make the process much clearer. Thank you in advance for considering this request!

Good content. How do you see this approach scaling in terms of performance? As your database of vectors increases, you’ll need to do cosine comparisons with every entry which will become increasingly memory and processor intensive, and slow. Any thoughts on how to avoid this would be good.

Good content but need to improve only the screen recording resolution enchantment. Cheer!

great tutorial thanks for sharing

Great video. Your screen recordings have too much wasted space while the text is almost unreadable. You should make the text MUCH larger

I like the video and the contents, but I would very appreciate it if someone at Microsoft shows from start to finish how to make a Azure environment, install OpenAI, Cognitive Search and other things that are needed, how to periodically upload my company data from a file server or other location, and how to make a website/webinterface that my company or someone from the outside can access. No offense, but I have seen four Microsoft youtube videos now with the same content that showcase this demo, but nothing goes into depth. I do not understand this. At the moment everybody is trying to race towards the finish line to get such a service running (especially using open source models like MPT-7B and Llama derivatives and interfaces like oogabooga and pipelines like Langchain) and Microsoft claims that they have the pipeline already there, but there is no in depth instructional video. If you make it a course or something, people will be happy to pay, including me.

Hi! Great video. I’d like to incorporate Open AI service in my org and I’m looking to hire a consultant to get us up and running. I didn’t see any contact info on your channel but if you’re interested, I’d love to chat

It would be very helpful if you could make a video tutorial, step by step, setting up this infrastructure in Azure and using your own PDF to customize the model.

A really informative video helped out a lot

I have a gread Idea you could code. Here's my idea for "Offline AI DVR for UA-cam" Have an input folder of Files to Classify by the filenames that are the title of the youtube video called Input_Folder Have a Output_Folders directory, where the Subfolder Names under Output_Folders are the Classes to train a neural net, to specify where the files should be copied to. I already have this setup and lots of youtube videos already manually moved into the Subfolders. This could be used to train the classifier. once trained I'd like to run the classifier on each filename in Input_Folder, the classifier would tell me the folder name to copy it to (I would call it Folder_Destination). Python would copy the file to \{Output_Folders}\{Folder_Destination. This would be an awsome little AI to organize files when you already have started the organizing. I use a nice little tool called "WinX UA-cam Downloader" to get the files I've put in a public folder named like "12"(the Date I started a new download list) as I browse UA-cam, I "Save to Playlist" and put it in "12" to put on my HD Later. WinX even puts them in a folder called "12 in this example. Then when I'm ready to Download and organize I copy the URL of the Playlist, paste it into Winx and it gets all the video files and puts them in "12". Then there's the long process of organizing them into categories on my HD like described above, so I can view Videos by catagory at my leisure. ( I used to be Offline most of the time, there was a method to my madness to get lots of videos for watching later). See all my Playlist names, and you can see I have a lot of interests. I keep the best videos by category on youtube playlists. It would be so nice to have the program I described and it would be the main component in a larger program later that would be like an Offline AI DVR for UA-cam. Thanks for reading this long post, hope you whip up the code as a better programmer than me!

Amazing content. Please continue to create more content like this. You are helping accelerate my career.😊

I recently presented this at an AI hackathon within my company and it was well-received.

Excellent video, hope we have more like this soon

Your tutorials are awesome. Straight to the point and loaded with information

That was absolutely brilliant it's just clicked I now understand the cosin similarity at last.

Is it possible that chatgpt/ gpt-4 can give answers to users regarding KPI structure in a dashboard by giving access to the data sources (raw data) like SAP etc. ?

Awesome, thanks

How can I create chat bot using azure open ai chatgpt3 plz?

This looks interesting. Do you have Experience with langchain aswell?

thanks the update

Good to see you doing great things with your knowledge Pratheek!!

Very nice introduction. Could you also demo how to build an app using azure openai?

Excellent content! Would love to see a few time stamp chapters included as well for easy sharing