Explore how to build a fully local AI RAG app step by step using Ollama, Qdrant, and .NET AI libraries. We'll walk through key AI and RAG architecture concepts, explore how to setup all of the tooling locally, walk through the app code in detail, and more. This video is intended for beginner to intermediate AI developers. Although the demo app is intended to be as simple as possible, it's also still designed to be meaningful and close to a real-world implementation – it’s not just a hello world quickstart. 00:00 Intro & prereqs 01:58 App demo 05:44 Concepts & architecture 09:49 Set up tools and app 14:50 Populate the database 21:00 Explore the code Sample app repo: Ollama: Qdrant: My other AI and coding videos: Use AI to chat with a SQL database v3.0 Build .NET AI Apps using - the future of .NET AI! .NET 9.0 Blazor Features in 9 Minutes Build AI Apps with Semantic Kernel Setup Stable Diffusion locally: AI Upscale any video on your local machine Setup and code with a local AI Model: Learn to use AI to chat with your own data: Use AI to chat with a NoSQL database: Learn to code a simple AI powered app: Learn Azure OpenAI fundamentals: Learn how to authenticate to Azure OpenAI the RIGHT way: