How to Build a RAG App with DeepSeek R1, Ollama, and Semantic Kernel: A Step-by-Step Guide

In this video, we’ll walk you through how to create a Retrieval Augmented Generation (RAG) application that runs locally with DeepSeek R1, Ollama, and the Semantic Kernel.

You’ll see how to embed and query your own documents—like an expense manager—using natural-language prompts. By the end, you’ll know how to combine DeepSeek R1 open-source AI models with custom data to get quick, accurate answers in real time.

💡What you will learn:

➢ How to Run DeepSeek R1 Locally using Ollama
➢ How to Use DeepSeek R1 for DotNet
➢ How To Use Semantic Memory
➢ Build AI App using Semantic Kernel in C#
➢ How to Create RAG Application using dotnet

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