💼📊 Build a Finance RAG App with Azure AI Studio! 🚀🤖

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🎥 In this video, we explore building a Retrieval Augmented Generation (RAG) model entirely using Azure services and Azure AI Studio! 🚀💻

RAG combines retrieval-based methods with generative AI to create more accurate and contextually relevant responses. We'll show you how to leverage Azure AI to enhance your applications with the power of retrieval and generation, all in one seamless workflow.

In this tutorial, we’ll cover:

Setting up Azure Cognitive Search to retrieve relevant documents
Integrating Azure OpenAI Service for natural language generation
Using Azure AI Studio to orchestrate the RAG process

🔧 Tools & Services Used:

Azure AI Search: For indexing and retrieving relevant data

Azure OpenAI Service: For advanced natural language generation

Azure AI Studio: For model orchestration and deployment
Whether you're in finance, customer support, or any industry that deals with large data sets, this video will help you build a powerful RAG model that improves information retrieval and enhances AI-driven content generation.

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#AzureAI #RetrievalAugmentedGeneration #RAG #AzureOpenAI #CognitiveSearch #AzureAIStudio #AI #NaturalLanguageProcessing #MachineLearning
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Different approach.... Liked it :) one question, how can we rid out of lamaindex and use custom approach as all customer does not go for another tool to do the content extraction. could you please throw some other approach

Jeganbaskaran