C#
Building RAG Pipelines with Kernel Memory
Stop hallucinations and ground your AI in your own data. Build a 'Troubleshooting Bot' using …
Running Local AI with .NET and Ollama
Cut cloud costs and improve privacy by running LLMs locally with Ollama and .NET. Learn how to build …
What's New in C# 14: A Developer's Guide
A deep dive into C# 14 features including the field keyword, extension properties, and implicit span …
Mastering Semantic Kernel Plugins
Give your AI agents real-world powers by building custom Semantic Kernel Plugins for system …
Hybrid AI: Combining Local and Cloud Models in .NET
Explore a hybrid AI architecture in .NET that uses local ONNX models for speed and privacy, while …
Expression Trees in C#: Beyond the Basics
Dive deep into Expression Trees in C#. Learn how they represent code as data, enabling powerful …
Semantic Kernel vs. LangChain: A .NET Developer's Guide
An in-depth comparison of Microsoft's Semantic Kernel and the popular LangChain framework, tailored …
The Power of Span<T> and Memory<T> in .NET
A practical guide to understanding Span<T> and Memory<T>, two of the most important …
Building a RAG System with ONNX Runtime and C#
Learn how to build a Retrieval-Augmented Generation (RAG) pipeline in C# using the ONNX Runtime for …