RAG Architecture and Implementation Using Microsoft Foundry

Video Description

🔴 RAG Architecture and Implementation Using Microsoft Foundry 📅 January 22 · 9 PM IST – Set Reminder ▶️ Retrieval-Augmented Generation (RAG) has quickly become one of the most important architectures in modern AI development — enabling applications to provide accurate, grounded, and context-aware responses by combining large language models with enterprise data. Microsoft Foundry takes this a step further by giving developers a unified toolkit to design, connect, and integrate RAG-powered experiences into real applications. This session introduces the essential components of Microsoft Foundry SDK, demonstrates how project connections enable secure data retrieval, and walks participants through building a RAG-enabled chat client that can be integrated into any application. Led by Ranjith Kumar, Corporate Trainer, this webinar provides a practical, developer-friendly foundation for implementing RAG solutions using Microsoft’s evolving AI ecosystem. 🔍 What you’ll learn: 1. What the Microsoft Foundry SDK Is A clear introduction to the Foundry SDK and its role in modern AI development. How Foundry enables developers to build RAG systems, intelligent agents, and chat experiences. Key SDK components used for reasoning, retrieval, and orchestration. Why Foundry is becoming central to enterprise-grade AI engineering. 2. How Project Connections Work Understanding how Foundry projects connect securely to your data sources. How project connections enable retrieval pipelines for RAG workflows. Managing authentication, permissions, and data boundaries. Best practices for setting up reliable, scalable connections for grounded AI responses. 3. How to Create a Chat Client Step-by-step guidance to build a functional chat interface using Foundry: Initializing the SDK Sending prompts and receiving model responses Passing context, retrieval results, and system instructions Maintaining conversation state in real apps How a chat client serves as the foundation for RAG use cases like support bots, internal assistants, and enterprise knowledge search. 4. Integrating Foundry with an Application How to embed your RAG-powered chat or agent into web, mobile, or backend systems. Using Foundry to add retrieval, grounding, and reasoning to existing workflows. Examples of integrating with line-of-business apps, portals, or cloud services. Design patterns for scalable, production-ready RAG implementations. 5. Live Demonstrations & Real-World RAG Use Cases Building a minimal RAG pipeline step-by-step. Showing retrieval + generation working together inside a chat client. Examples of enterprise RAG applications in support, documentation search, and analytics. 6. Live Q&A and Developer Guidance Participants can ask detailed questions about SDK usage, retrieval workflows, deployment considerations, or integration patterns. Receive practical tips for building, testing, and scaling RAG applications with Foundry. 🎯 Who should attend? AI developers and software engineers Solution architects and technical leaders Students and early-career professionals exploring AI app development Teams building chat assistants, knowledge engines, or RAG solutions Anyone interested in practical, real-world AI implementation using Microsoft Foundry Speaker: Ranjith Kumar Corporate Trainer | Koenig Solutions Pvt. Ltd. 📢 Follow & Learn More: 🔗 Koenig Solutions: https://www.koenig-solutions.com 🔗 LinkedIn: https://www.linkedin.com/company/koenig-solutions 🔗 Facebook: https://www.facebook.com/koenigsolutions 🔗 Instagram: https://www.instagram.com/koenigsolutions 🔗 Twitter (X): https://twitter.com/KoenigSolutions 🔗 Upcoming Webinars: https://www.koenig-solutions.com/upcoming-webinars 🧠 If you want to build accurate, grounded, and production-ready AI applications, this session provides the essential foundation for implementing RAG using Microsoft Foundry. 👍 Like | 💬 Comment | 🔔 Subscribe for more AI engineering, Microsoft Foundry, and enterprise application development webinars. #KoenigWebinars #KoenigSolutions #RAG #RetrievalAugmentedGeneration #MicrosoftFoundry #AIEngineering #ChatClientDevelopment #EnterpriseAI #SDKIntegration