A sample Chatbot in C# using Microsoft Agent Framework
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Nov 12, 2026 - C#
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A sample Chatbot in C# using Microsoft Agent Framework
.NET library for local embedding generation using ONNX and Microsoft.Extensions.AI
machine-learning csharp dotnet nuget dependency-injection embeddings cosine-similarity semantic-search onnx rag huggingface kernel-memory text-embeddings vector-embeddings onnx-runtime local-ai microsoft-extensions-ai
A lightweight implementation of Kernel Memory as a Service
visual-studio ai csharp azure embeddings artificial-intelligence openai gpt rag kernel-memory azure-openai azureopenai semantic-kernel chat-completion retrieval-augmented-generation
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.
c-sharp visual-studio sql-server dotnet embeddings openai kernel-memory vector-database azure-openai chatgpt semantic-kernel
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
Find the kernel-side memory free and top can't account for, reconciled live from /proc/meminfo
linux kernel memory-management observability page-tables slab yeet hugepages microvm memory-profiling kernel-memory proc-meminfo yeet-scripts
Demonstrates how to use Semantic Kernel and Kernel Memory in a polyglot notebook environment.
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.
High-performance hybrid memory manager combining binary buddy system allocation with coalescing and power-of-two block splitting.
AI Chatbot with Ollama & Kernel Memory
A Semantic kernel Plugin for microsoft/kernel-memory based from https://github.com/matthewbolanos/todo-ai-plugin
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