rag
Here are 88 public repositories matching this topic...
RAG architecture: index and query any data using LLM and natural language, track sources, show citations, asynchronous memory patterns.
-
Updated
Nov 3, 2025 - C#
The .NET library to build AI agents with 25+ built-in connectors.
-
Updated
Nov 9, 2025 - C#
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
-
Updated
Oct 28, 2025 - C#
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.
-
Updated
Sep 4, 2024 - C#
eShopLite is a set of reference .NET applications implementing an eCommerce site with features like Semantic Search, MCP, Reasoning models and more.
-
Updated
Oct 7, 2025 - C#
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.
-
Updated
Nov 4, 2025 - C#
Lightweight, In-memory, Semantic Search, Text Vector Database to embed in any .NET Application
-
Updated
Oct 26, 2025 - C#
Microsoft's Kernel Memory StructRAG implementation
-
Updated
Sep 4, 2025 - C#
Semantic search in Unity!
-
Updated
Aug 22, 2024 - C#
SQL Server connector for Semantic Kernel plugin and Kernel Memory
-
Updated
Jan 6, 2025 - C#
-
Updated
Aug 15, 2025 - C#
A lightweight implementation of Kernel Memory as a Service
-
Updated
Jun 12, 2025 - C#
eShopLite - Semantic Search is a reference .NET application implementing an eCommerce site with Search features using Keyword Search and Semantic Search.
-
Updated
Apr 24, 2025 - C#
Typical RAG implementation using Semantic Kernel, Semantic Memory and Aspire
-
Updated
Sep 3, 2024 - C#
Improve this page
Add a description, image, and links to the rag topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the rag topic, visit your repo's landing page and select "manage topics."