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In this episode, we’ll dive into embedding models—important tools for working with vector databases and large language models. These models convert text into numerical representations, making it easier to process and retrieve information efficiently. After covering the core concepts, we’ll apply them in practice by building a Retrieval-Augmented Generation (RAG) app using Small Language Models (SLMs) and a vector database.\n\nLearn more: https://aka.ms/Learn-Collection\n\nPre-requisites:\nVSCode installed on your computer