This repository demonstrates small-scale proof-of-concept deployments of Generative AI applications with Azure OpenAI. The repository showcases the capabilities of Azure OpenAI and provides a foundation for enterprises seeking to implement Generative AI applications with Azure OpenAI.
This repository will highlight different areas of interest when implementing Generative AI applications with Azure OpenAI. Each example scenario demonstrates a small-scale proof-of-concept that can be used as a foundation for enterprises seeking to implement Generative AI applications with Azure OpenAI.
More information on the example scenarios is outlined in the Getting Started section of this repository.
Detailed instructions for deploying these proofs-of-concept are outlined in the Step-by-Step Setup section of this repository. The example scenarios will illustrate concepts such as:
- Building a search index using Azure AI Search that can be used to retrieve relevant information.
- Implementing the Retrieval-Augmented Generation (RAG) pattern.
- Developing a lightweight web interface for a chatbot using Streamlit.
- Deploying the Generative AI application using Streamlit.
- Deploy the application using Azure Container Apps.
This proof-of-concept will cover the following example scenarios:
| Example Scenario | Description |
|---|---|
| Contoso Trek Product Info Chatbot (Custom) | Small-scale proof-of-concept demonstrating a chatbot leveraging built and deployed using Streamlit and Azure Container Apps. The chatbot uses a custom RAG implementation and Azure AI Search for pull-based data ingestion. |
Details on licensing for the project can be found in the LICENSE file.