Calling API for Train your Own Enterprise Data with Azure OpenAI Service | ChatGPT Azure OpenAI API

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In this video, learn how to train your own enterprise data using Azure OpenAI Service. Discover the power of ChatGPT with custom data formats such as PDF, Word, TXT, MD, HTML, and PPT files. Unlock new possibilities for intelligent data processing and decision-making within your organization.

This is calling an API generated by the below video.

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Jagdish, thank you so much! 👍All other videos are bla-bla, you can do this, you can do that. With your two videos you have shown a simple and concise step by step procedure how to set up, and most importantly, how to include this within our apps. You have saved me many days of investigative work.😀Yes, langchain sample would be great, but you have already given us plenty.

brus
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This is so cool! Thank you for making a video on this 😊

z-ro
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11:20 you can directly click on beautify button in postman to format json payload

RohitTater
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Also, you can just create a function which removes the test data name while you implement it. Easily doable in javascript. Also can be implemented in your website. I created a function which just removes everything in [] brackets as none of the data has [] brackets.

Shoaibkhan-ojoe
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I get the same issue. When i hit the api which gets stuck on fetching. It sometimes takes alot of time for the model to reply back. I thought i was the only one getting it. Glad that I wasn’t the only one.

Shoaibkhan-ojoe
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Thankyou for the video. Love your videos. What about langchain implementations..Would love to see that too.

Shoaibkhan-ojoe
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What we'd like to implement is chat with different sources (different Sharepoints, intranet, public website, but also allow internet browsing for more general questions instead of restricting the answer to data in Azure Cognitive Search) and keeping history of course. We are using Power Virtual Agents, Power Automate and Azure OpenAI for the basic flow (storing chat history in Cosmos DB or maybe Dataverse, haven't decided yet). But for processing all those sources through Azure Cognitive Search, do you recommend bringing them all to a single Azure Blob Storage or something else? And how do you allow for flexibility so it doesn't restrict the responses to only those sources (for example, if I ask which is the largest river in the world, I expect it to retrieve the data from the internet and not those sources)? Also, would Microsoft Bot Framework would be better suited for what we are trying to achieve?

iulix
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Hey @Dewiride how can I restrict my search to uploaded documents.btw your solution works like a charm

pather_pannchali
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I have been attempting to implement "Chat with Azure OpenAl models using your own data" with a large dataset stored inside different folders in a blob storage. Each time I attempt to execute the indexer, it encounters failure due to the large size of the PDF files. Although I've utilized the provided Data Preparation script, it necessitates downloading the files to the local machine and re-uploading them. Is there any workaround to address this issue?

ravisrox
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Jagadish, Lets say If I have some SDK & sample code snippets on how to use my SDK ( kind of help/manual pages ), i want to build a custom pilot so that my SDK users can ask sample codes to copilot and get my sample code snippets. Most of the content i see is to train some text data ? but can you help me to understand on how to train my code snippets ?

RaviShankarVoora-thjg
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Is it possible to upload multiple documents and query through the same ?

vineshcool
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I would love to follow along with your echobot implementation... I was looking for the repo online but couldn't find code that matches yours. Could you share your echobot repo? Thank you for your informative videos!

granttouchette
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Can we do this without Azure openai ? Can we use public openai key to do this?

LearnEarn-zxdi
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Hie. Whats makes it say it does not find information regarding a specific question even tho its there clearly in the provided data ?

geniusmhirizhonga
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You hit this api which you copied from azure ai studio can we also deploy that into app service and consume that api if yes then will that api also be called same way

rushabhvora