How Does Azure AI Search Improve RAG Applications?
How Does Azure AI Search Improve RAG Applications? Introduction Azure AI Search gives AI applications a better way to find useful information before generating an answer. This matters because a RAG application depends on the quality of the information it retrieves. Instead of asking a language model to answer only from what it already knows, RAG first searches a trusted collection of documents and then gives the relevant content to the model. For people learning Azure AI Training , this is an important concept because search is a major part of building practical AI solutions. A well-designed search layer can help an application find the right policy, product document, support article, or business record and use that information to create a more useful response. How Does Azure AI Search Improve RAG Applications? What Is RAG? RAG stands for Retrieval-Augmented Generation. It combines information retrieval with a language model. Think about a company chatbot that answers quest...
