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In this video, we’ll unravel the mysteries behind vectors, embeddings, and vector databases, and how they play a crucial role in machine learning. We’ll start by breaking down what vectors are and how they represent data in a multi-dimensional space. Then, we’ll explore embeddings, which are essentially dense vector representations of data that capture the semantic meaning of words, images, or other types of information. Finally, we’ll discuss how vector databases store that information and provide the backbone of many AI features you use every day.
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