Grokking the AI System Design Interview
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Embeddings and Vector Databases

Meaning as Geometry

An embedding model takes a piece of text and turns it into a vector. A vector is a long list of numbers, commonly 256 to 3,072 of them.

What matters is not the numbers themselves. What matters is where the resulting point lands.

Texts with similar meaning land near each other.

Take "How do I reset my password?" and "I'm locked out of my account." They share almost no words.

A suitable embedding model may place these requests near each other because they concern account access

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