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.

• ☁️ Scenarios use .NET and Aspire, with a stable .NET 10 baseline and an isolated .NET 11 RC2 scenario for experimental Blazor AI components. See the dependency baseline below for compatibility exceptions.
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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:

Scenario	Description	Key Technologies
01 - Semantic Search	A reference .NET application implementing an eCommerce site with Search features using Keyword Search and Semantic Search.	.NET Aspire, OpenAI GPT-4.1-mini, In-memory Vector DB
02 - Azure AI Search	Implements an eCommerce site with Keyword Search using SQL queries and Semantic Search with Vector Database and Azure AI Search.	Azure AI Search, OpenAI Embeddings, SQL Server
03 - Realtime Audio	Extends the eCommerce site with advanced search features and real-time audio capabilities powered by the GPT-4o Realtime Audio API.	GPT-4o Realtime Audio API, Audio in Blazor, .NET Aspire
04 - Chroma DB	Implements semantic search functionality using Chroma DB, an open-source database designed for AI applications.	Chroma DB, OpenAI Embeddings, .NET SDK
05 - DeepSeek-R1	Demonstrates integration of the DeepSeek-R1 model for enhanced semantic understanding and search capabilities.	DeepSeek-R1, .NET Aspire, Vector Embeddings
06 - Model Context Protocol (MCP)	Implements the Model Context Protocol (MCP) for advanced AI interactions with MCP Servers and MCP Clients.	Model Context Protocol, Function Calling, SSE Events
07 - Agents Concurrent	Demonstrates concurrent agent orchestration and advanced AI agent collaboration patterns.	.NET Aspire, Multi-Agent Systems, Orchestration
08 - SQL Server 2025	Demonstrates the use of vector search and vector indexes in the SQL Database Engine	SQL Server 2025, Vector Search, Vector Indexes
[09 - Azure App Service](./scenarios/09-Azur