Hello everyone, welcome to my latest blog post! My name is Suzaril Shah and I am a Microsoft AI MVP and a Gold Microsoft Learn Student Ambassador from Malaysia. I am excited to share how you can Integrate Azure OpenAI Embedding model into Open WebUI in this article.
Introduction
Let’s take a closer look at an exciting development in the AI space. Embedding models are the key to transforming complex data into usable insights, driving innovations like smarter chatbots and tailored recommendations. With Azure AI Foundry, Microsoft’s powerful platform, you’ve got the tools to build and scale these models effortlessly. Add in Open Web UI, a intuitive interface for engaging with AI systems, and you’ve got a winning combo that’s hard to beat. In this article, we’ll explore how embedding models on Azure AI Foundry, paired with Open Web UI, are paving the way for accessible and impactful AI solutions for developers and businesses. Let’s dive in!
To proceed with configuring the embedding model from Azure AI Foundry on Open Web UI, please firstly configure the requirements below.
Requirements:
- Setup Azure AI Foundry Hub/Projects
- Deploy Open Web UI – refer to my previous article on how you can deploy Open Web UI on Azure VM.
- Optional: Deploy LiteLLM with Azure AI Foundry models to work on Open Web UI - refer to my previous article on how you can do this as well.
Deploying Embedding Models on Azure AI Foundry
Navigate to the Azure AI Foundry site and deploy an embedding model from the “Model + Endpoint” section.
For the purpose of this demonstration, we will deploy the “text-embedding-3-large” model by OpenAI.
You should be receiving a URL endpoint and API Key to the embedding model deployed just now. Take note of that credential because we will be using it in Open Web UI.
Configuring the embedding models on Open Web UI
Now head to the Open Web UI Admin Setting Page > Documents and Select Azure Open AI as the Embedding Model Engine. Copy and Paste the Base URL, API Key, the Embedding Model deployed on Azure AI Foundry and the API version (not the model version) into the fields below:
Click “Save” to reflect the changes.
Expected Output
Now let us look into the scenario for when the embedding model configured on Open Web UI and when it is not.
Without Embedding Models configured.
With Azure Open AI Embedding models configured.
Conclusion
And there you have it! Embedding models on Azure AI Foundry, combined with the seamless interaction offered by Open Web UI, are truly revolutionizing how we approach AI solutions. This powerful duo not only simplifies the process of building and deploying intelligent systems but also makes cutting-edge technology more accessible to developers and businesses of all sizes. As we move forward, it’s clear that such integrations will continue to drive innovation, breaking down barriers and unlocking new possibilities in the AI landscape. So, whether you’re a seasoned developer or just stepping into this exciting field, now’s the time to explore what Azure AI Foundry and Open Web UI can do for you. Let’s keep pushing the boundaries of what’s possible!
