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How to Build RAG Apps with Azure AI Search?

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How to Build RAG Apps with Azure AI Search? Introduction Azure AI helps developers build applications that can understand questions and work with useful information. One popular approach is called Retrieval-Augmented Generation, or RAG. It lets an application search trusted documents before asking an AI model to create an answer. This is useful for company guides, product documents, FAQs, manuals, and support content. Azure AI Training can help learners understand how search, data, and AI models work together when building these applications. Azure AI Search provides the search layer that finds the right information and sends it to the application. How to Build RAG Apps with Azure AI Search? What Is RAG? RAG means Retrieval-Augmented Generation. It combines search with an AI language model. Think about a company that has hundreds of documents. An employee asks, “How many days of leave can I take?” A normal AI model may not know the company's latest leave policy. With ...

Top Azure AI Services Every Developer Should Learn

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Top Azure AI Services Every Developer Should Learn Introduction Azure AI is changing how developers build modern applications. It helps developers add smart features without creating complex AI models from the beginning. Businesses now use AI for search, customer support, document processing, voice applications, and data analysis. Developers who want to work on these projects need to understand the main Azure AI services . Azure AI Training can help learners build these skills through practical examples and real project use cases. The good thing is that developers do not need to become data scientists first. Many Azure AI services are ready to use. Developers can connect them to applications through APIs and SDKs. This makes AI development easier to understand and implement. Top Azure AI Services Every Developer Should Learn Why Should Developers Learn Azure AI? AI is now part of many software products. Customers use chatbots, voice assistants, smart search, and automated s...