Embedding
Category: Data“em-BED-ing”
Turning words or documents into numbers so a computer can tell which ones mean similar things.
Lesson #3: Under the Hood: Models, Meaning & Speed →Pinning every tool in your shop on a map so similar tools end up sitting near each other.
A music app suggesting songs that 'feel like' the one you just played.
Searching your job archive for 'water damage' and also getting 'moisture intrusion' results.
A help desk matching a new ticket to past tickets that meant the same thing.
Embeddings are why AI search finds meaning, not just matching words — a huge upgrade for your files.
Embeddings turn meaning into numbers so similar things sit close together.
Think of two phrases your customers use for the same thing. That gap is what embeddings close.
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Related terms
Picked automatically from the same category and the ideas this term shares.
Hand-picked pair
A special kind of memory that helps AI quickly find information that is similar.
Hand-picked pair
A method where the AI looks up your real documents before answering, instead of guessing.
Hand-picked pair
The information an AI studied in order to learn.
Same category: Data
General facts and meanings the AI keeps, separate from any single event.
Same category: Data
Automatically stripping out personal details — names, addresses, card numbers — before text is stored or sent to an AI.
Same category: Data
When an AI's answers unfairly favor one group or view because the data it learned from leaned that way.