Connect Your Images to ChatGPT With Embeddings in Azure Cognitive Search

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In this video, we will generate embeddings from our stored images using Azure Cognitive service (Florence Foundation ML model) to store them in our vector database. We can then query our images by just typing what image we are looking for! Now you can Chat with your Images!

Use ChatGPT On Your Own Large Text Data:

The Code Repo used in this video is added to this Discord Channel under the Reference section:

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You should have a million subscribers!! Awesome walkthrough..thanks for sharing 😊

pankajverma
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I'm so happy for you. because you've found your way! You definitely deserve thousands of subscribers. Keep it up :)

mariaakbarpour
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Thanks for this interesting walkthrough!

hitmusicworldwide
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07:11 Retrieve data using the Florence model and Azure cognitive search

09:17 The code is an Azure function that listens for HTTP requests to generate image embeddings.

13:30 Deploying code or function to generate embeddings in Azure function.

15:43 Indexing and querying data using machine learning models and web APIs

19:51 Connecting Azure Function to Blob Storage for Data Retrieval

21:43 Created a skill set and index for Azure cognitive search

25:39 Generate embeddings for text and images using Azure Cognitive Search

27:41 Using embeddings in cognitive search allows chatbots to interact with both images and text.

data
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He gave us a way also. Thanks bro... Want to meet you once..

nikhilparashar
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Thanks for the video!! Nice explanation. Please increase font size.

smanihwr
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how to create a vector embeddings for both the image and text which are part of pdf document and store in azure cognitive search and can it extract the text in the images?

gajjalasrinivasrao
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Its awesome. Great work. Please share the code.

vigneshnagaraj
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Hello, can I build this on AzureML Promptflow and then deploy it as a realtime endpoint for the company?

tarikkaankoc
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where's the github function code ?

adamzachary