A sample Chatbot in C# using Microsoft Agent Framework

A lightweight implementation of Kernel Memory as a Service

.NET library for local embedding generation using ONNX and Microsoft.Extensions.AI

Typical RAG implementation using Semantic Kernel, Semantic Memory and Aspire

An example that shows how to use Semantic Kernel and Kernel Memory to work with embeddings in a .NET application using SQL Server as Vector Database.

Kernel Memory. A sample project demonstrating AI-powered semantic search capabilities tailored for e-commerce websites, leveraging RAG (Retrieval-Augmented Generation) architecture

A service for automating document ingestion for Semantic Kernel's KernelMemory service

Powershell script to view kernel memory pool information

Materials for a workshop on Semantic Kernel, Kernel Memory, and Microsoft Extensions AI

Demonstrates how to use Semantic Kernel and Kernel Memory in a polyglot notebook environment.

Find the kernel-side memory free and top can't account for, reconciled live from /proc/meminfo

A Linux kernel subsystem for transparent, memoization of deterministic computations.

SpotDocAI is a full-stack proof-of-concept platform for scalable document ingestion, AI-based semantic search, and natural language question answering. Users can upload collections of documents (ZIPs), which are processed asynchronously, indexed, and queried with context-aware responses, complete with source citations.

A production-ready Retrieval-Augmented Generation (RAG) application built with .NET 10, featuring advanced document processing, streaming chat responses, and comprehensive infrastructure orchestration using .NET Aspire.

A Semantic kernel Plugin for microsoft/kernel-memory based from https://github.com/matthewbolanos/todo-ai-plugin

AI Chatbot with Ollama & Kernel Memory