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In this session, we will dive into implementing Retrieval-Augmented Generation (RAG) using Azure OpenAI Service, a technique that enhances model responses by grounding them in specific, custom data sources. You’ll learn how to set up RAG in Azure OpenAI, configure data sources for enhanced response accuracy, and interact with models using API calls to deliver data-informed responses. Hands-on exercises will allow participants to practice integrating RAG with their applications, streamlining knowledge retrieval and improving response relevance.\n\nRead More - https://aka.ms/OpenAI-RAG\n\nHow do you think a Start-up will be benefited from this session?\nStart-ups can benefit by understanding how to use RAG to enhance their AI’s capabilities with data-grounded responses. With RAG, start-ups can make AI interactions more reliable by referencing up-to-date, relevant data, enabling faster, more accurate customer support, improved decision-making, and streamlined knowledge management. The session will also cover best practices for API and SDK integration, showing how to leverage RAG for efficient data retrieval, helping start-ups reduce operational costs and increase productivity.\n\nThe session will focus on:\nIntroduction to RAG in Azure OpenAI: Understanding the concept and benefits of Retrieval-Augmented Generation. Configuring Azure OpenAI with Your Data: Learn how to add and manage custom data sources.\nUsing APIs for Data-Informed Interactions: Discover how to query models with your data for more accurate responses. Hands-on Exercise: Participants will practice configuring and using RAG with Azure OpenAI for improved application response quality.\n\nWhat will the attendees or a Start-up learn from the session?\nHow to set up RAG using Azure OpenAI and integrate custom data sources.\nTechniques for enhancing response relevance by grounding AI interactions in reliable data.\nPractical skills in configuring and using Azure OpenAI API for data-informed model responses.\nHow to utilize RAG to improve AI reliability, leading to faster customer service and better knowledge management.\nBest practices for API and SDK integration to maximize RAG’s benefits in real-world applications, helping teams optimize productivity and improve AI solution quality.\nThis session equips developers, solution architects, and start-ups to leverage RAG with Azure OpenAI, advancing their AI solutions to provide high-quality, data-augmented responses.\n\nSpeaker BIO- Viswanatha Swamy\nHe is an aspirant Software Architect and currently, he works at Applied Information Sciences. He is passionate about C#, ASP.NET, Azure, Performance testing/tuning, .NET Core, and Docker. He loves to learn about new technologies.\n\nSocial Handle- https://twitter.com/vishipayyallore\n\nPre-requisites:\nAI-900\nSome experience in AI\nWilling to learn AI

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