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Vector Embeddings Explained: A Beginner’s Guide to Powerful AI

Vector embeddings are numerical representations of data points within a high-dimensional space. This representation makes it easy to search through unstructured data such as text, images and videos, opening up many possibilities in AI and machine learning (ML) applications.

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