AI doesn’t “read” text.
It encodes it.

Embeddings are the internal language of modern models: multidimensional vectors that represent not words, but relationships between concepts.

Two sentences can look different but share the same meaning.
AI sees this instantly because embeddings place them in nearly the same point in semantic space.

This is why:

• LLMs understand paraphrases

• Search engines return conceptually related answers

• AI can “infer” meaning that isn’t explicitly written

Embeddings are the foundation of the AI era:
a geometry of meaning.

Everything else — generation, ranking, interpretation — is built on top of this invisible layer.