RAG architecture: index and query any data using LLM and natural language, track sources, show citations, asynchronous memory patterns.
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Updated
May 9, 2025 - C#
RAG architecture: index and query any data using LLM and natural language, track sources, show citations, asynchronous memory patterns.
参考GraphRag使用 Semantic Kernel 来实现的dotnet版本,可以使用NuGet开箱即用集成到项目中
A versatile multi-modal chat application that enables users to develop custom agents, create images, leverage visual recognition, and engage in voice interactions. It integrates seamlessly with local LLMs and commercial models like OpenAI, Gemini, Perplexity, and Claude, and allows to converse with uploaded documents and websites.
A Blazor Web App and Minimal API for performing RAG (Retrieval Augmented Generation) and vector search using the native VECTOR type in Azure SQL Database and Azure OpenAI.
Lightweight, In-memory, Semantic Search, Text Vector Database to embed in any .NET Application
eShopLite is a set of reference .NET applications implementing an eCommerce site with features like Semantic Search, MCP, Reasoning models and more.
Microsoft's Kernel Memory StructRAG implementation
Semantic search in Unity!
SQL Server connector for Semantic Kernel plugin and Kernel Memory
A lightweight implementation of Kernel Memory as a Service
SQL Server as a vector database, SQL Server Extenstion for RAG
eShopLite - Semantic Search is a reference .NET application implementing an eCommerce site with Search features using Keyword Search and Semantic Search.
Explore AI Capabilities for Your .NET Projects with OpenAI's API: Unlock the power of AI in your applications
Typical RAG implementation using Semantic Kernel, Semantic Memory and Aspire
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