Embedding

Data

“em-BED-ing”

4/5 · Advanced

Turning words or documents into numbers so a computer can tell which ones mean similar things.

Think of it like…

Pinning every tool in your shop on a map so similar tools end up sitting near each other.

Everyday example

A music app suggesting songs that 'feel like' the one you just played.

Construction example

Searching your job archive for 'water damage' and also getting 'moisture intrusion' results.

Business example

A help desk matching a new ticket to past tickets that meant the same thing.

Why this matters

Embeddings are why AI search finds meaning, not just matching words — a huge upgrade for your files.

One-sentence summary

Embeddings turn meaning into numbers so similar things sit close together.

Try it yourself

Think of two phrases your customers use for the same thing. That gap is what embeddings close.

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