What is Eshoplite

eShopLite is a set of reference .NET applications designed to implement an eCommerce site, featuring capabilities such as Semantic Search, MCP, and various reasoning models.

Use cases

Use cases include implementing semantic search for product listings, enhancing search capabilities with Azure AI Search, providing real-time audio support for customer interactions, and utilizing Chroma DB for advanced database functionalities.

How to use

To use eShopLite, developers can clone the repository, set up the .NET environment, and explore the provided scenarios to understand how to implement different eCommerce functionalities.

Key features

Key features include modern .NET architecture, various search capabilities (keyword and semantic search), integration with AI models, vector database implementations, real-time audio capabilities, and MCP server and client implementation.

Where to use

eShopLite can be used in eCommerce platforms, online retail applications, and any project requiring advanced search functionalities and AI integrations.

eShopLite

eShopLite is a set of reference .NET applications implementing an eCommerce site with features like Semantic Search, Model Context Protocol (MCP), Reasoning models, vector databases, and more.

• ☁️ All scenarios in this repository use the latest version of .NET and leverage .NET Aspire to orchestrate the entire solution.
• 🌟 Don’t forget to star (🌟) this repo to find it easier later.
• ➡️ Get your own copy by Forking this repo and find it next in your own repositories.
• ❓ Have a question? Besides creating issues or pull requests, the best option for questions is to join the Azure AI Discord channel, where a team of AI experts can help you.

Features

This project framework provides the following features:

• Modern .NET application architecture with .NET Aspire
• Various search capabilities (keyword search, semantic search)
• Integration with multiple AI models (GPT-4o, DeepSeek-R1, etc.)
• Vector database implementations (In Memory, Azure AI Search, Chroma DB and others)
• Real-time audio capabilities
• Model Context Protocol (MCP) server and client implementation

eShopLite Scenarios

The project includes several scenarios demonstrating different capabilities:

Getting Started

Prerequisites

• .NET 9
• Docker Desktop or Podman
• Azure Developer CLI (azd) (for Azure deployment)
• Git

Installation

1. Clone the repository:

   git clone https://github.com/Azure-Samples/eShopLite.git
   

2. Navigate to the scenario directory of interest:

   cd eShopLite/scenarios/[scenario-folder]
   

3. Login to Azure:

   azd auth login
   

4. Provision and deploy all the resources:

   azd up
   

   It will prompt you to provide an azd environment name (like “eShopLite”), select a subscription from your Azure account, and select a location where the necessary models, like gpt-4.1-mini and ADA-002 are available, a sample region can be “eastus2”.

Quickstart

1. Navigate to a specific scenario folder (e.g., scenarios/01-SemanticSearch/)
2. Follow the README instructions in that scenario folder
3. Run the solution using dotnet run in the appropriate host project folder

Demo

To run the demo, follow these steps:

1. Navigate to the specific scenario folder
2. Follow the “Run the solution” instructions in that scenario’s README
3. Access the application via the URLs provided in the console output

Sample Application

This is the eShopLite Aplication running, performing a Keyword Search:

This is the eShopLite Aplication running, performing a Semantic Search:

This is the eShopLite Application running the Realtime Audio feature:

This is the eShopLite Application using the DeepSeek-R1 Reasoning Model:

The Aspire Dashboard to check the running services:

The Azure Resource Group with all the deployed services:

Resources

• Generative AI for Beginners .NET

• .NET Aspire Documentation

• Azure OpenAI Service Documentation