Kaushik Roy Chowdhury

Multimodal RAG Pipeline in ASP.NET 10 - From Zero to Working Upload Form

In this video, we start building a real Multimodal RAG (Retrieval-Augmented Generation) application using ASP.NET Core MVC. This is Part 1 of the series, where we focus on: ✅ ASP.NET Core MVC project setup ✅ Folder structure design ✅ Upload form creation ✅ File upload handling with IFormFile ✅ Razor View setup ✅ RAG controller implementation ✅ Multimodal RAG architecture overview By the end of this video, you will have the foundation of a real AI-powered RAG application capable of handling document uploads, image uploads, and user questions. 📌 What is Multimodal RAG? A multimodal RAG system combines: * Text understanding * Image understanding * AI retrieval * Large language models to generate intelligent answers using multiple data sources. 00:00 Architecture Overview of the multimodal RAG pipeline. 01:05 Project Initialization for the ASP.NET Core MVC project. 02:11 Discussion on MVC Structure and folder organization. 02:51 Installing Dependencies including PDFPig and Azure Search. 04:30 Folder Organization for services and view models. 05:08 Creating the View Model to handle form data. 06:09 Building the Controller for GET and POST methods. 08:12 Implementing File Upload Logic with unique identifiers. 09:14 Designing the User Interface with Razor Views. 11:43 Explaining Form Binding and Tag Helpers. 13:07 Navigation Setup for the demo link. 13:54 Final Demo showing the application in action 🚀 Upcoming videos in this series: * PDF text extraction * Chunking and embeddings * Azure AI Search integration * Vector databases * OpenAI embeddings * Image analysis * Full RAG orchestration pipeline * AI-powered response generation 🛠 Technologies Used: * ASP.NET Core MVC * C# * Razor Views * OpenAI * Azure AI Search * PdfPig * Vector Search Concepts If you enjoy practical AI + .NET tutorials, consider subscribing for more enterprise-grade software engineering and AI architecture content. #RAG #ASPNetCore #AI #GenerativeAI #OpenAI #DotNet Like || Share || Spread || Love Make sure you subscribe to our YouTube Channel and never miss our latest video:- http://bit.ly/Kaushik-roy-chowdhury-subscribe Buy me a coffee https://www.buymeacoffee.com/5m1piIG Support The Channel By Donations: https://www.patreon.com/deveducator For more updates Follow us on:- Visit- https://kaushikroychowdhury.com Facebook- https://www.facebook.com/deveducate Twitter- https://twitter.com/krchome58 Linkedin- https://www.linkedin.com/in/chowdhurykaushik Github- https://github.com/krchome