Embeddings are how a system finds things by meaning rather than by keyword. Two descriptions of the same shot land near each other even with no words in common, which is what makes a searchable asset library possible.
For a studio the practical use is unglamorous and valuable: find the frame that looks like this, find the brief that resembles that one, find whether we have already made this. All of which are otherwise a person scrolling.
They are also the mechanism underneath retrieval, so understanding that they encode similarity rather than truth explains why a retrieval system sometimes confidently returns something adjacent and wrong.
What are embeddings used for in a creative pipeline?
Semantic search over assets and briefs, deduplication, and retrieval for agentic workflows. All of them replace a person scrolling with a query.
Why does semantic search sometimes return the wrong thing confidently?
Because embeddings encode similarity, not correctness. Something can be very close in meaning and still be the wrong asset, and nothing in the mechanism knows the difference.