What are Vector Embeddings?

Embeddings are numerical machine learning representations of the semantic of the input data. They capture the meaning of complex, high-dimensional data, like text, images, or audio, into vectors. Enabling algorithms to process and analyze the data more efficiently.

You know when you’re scrolling through your social media feeds and the content just feels incredibly tailored to you? There's the news you care about, followed by a perfect tutorial with your favorite tech stack, and then a meme that makes you …

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