Imagine trying to teach a computer the meaning of the word “love.” It’s a complex concept, isn’t it? Embeddings provide a solution. An embedding is a numerical representation of a word, phrase, image, or even a whole piece of code. These numerical representations, or vectors, carry the essence of the original data point within them. In the case of “love,” the vector might capture elements of relationships, emotion, and positive sentiment. This vector sits within a vast, multi-dimensional space.
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As AI applications rely more heavily on embeddings, traditional databases start to fall short. Here’s where vector databases swoop in to save the day! Vector databases are purpose-built to
