{"id":13167,"date":"2026-08-10T10:55:32","date_gmt":"2026-08-10T10:55:32","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/dometrain-lets-build-it-ai-chatbot-with-rag-in-net-using-your-data-2025-11\/"},"modified":"2026-08-10T10:55:32","modified_gmt":"2026-08-10T10:55:32","slug":"dometrain-lets-build-it-ai-chatbot-with-rag-in-net-using-your-data-2025-11","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/dometrain-lets-build-it-ai-chatbot-with-rag-in-net-using-your-data-2025-11\/","title":{"rendered":"Dometrain \u2013 Let\u2019s Build It: AI Chatbot with RAG in .NET Using Your Data 2025-11"},"content":{"rendered":"
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Description<\/h2>\n

Let\u2019s Build It: AI Chatbot with RAG in .NET Using Your Data is a course on how to design, develop, and deploy a fully functional AI chatbot based on Retrieval-Augmented Generation (RAG) in the .NET framework, published by Dometrain Online Academy. This is a hands-on, project-based course that teaches you how to design, develop, and deploy a fully functional AI chatbot based on Retrieval-Augmented Generation (RAG) in the .NET framework. The course focuses on integrating your own datasets to create intelligent, context-aware chatbots that are capable of providing accurate, relevant, and dynamic responses. This course is ideal for developers and AI enthusiasts who want to combine modern AI techniques with enterprise-level .NET development practices.<\/p>\n

This course introduces individuals to the principles of the RAG architecture and explains how to connect large language models with external data sources to improve accuracy and manage text. This course covers document processing, vector database integration, embeddings, and API connections in a .NET environment, and provides clear examples and reusable code patterns. Students will learn how to preprocess custom datasets, implement retrieval pipelines, and integrate AI responses into chat interfaces. It also emphasizes optimizing performance, security, and scalability when deploying RAG systems in real-world applications. By the end, students will be able to build intelligent, data-driven chatbots that effectively leverage their organization\u2019s knowledge and combine the reliability of .NET with the power of modern AI retrieval systems.<\/p>\n

What you will learn in Let\u2019s Build It: AI Chatbot with RAG in .NET Using Your Data:<\/h3>\n