A team wants to group similar documents for semantic search. What does an embedding primarily provide?

1. A permanent exact plaintext backup that needs no source metadata.
2. A numeric representation useful for measuring similarity in a compatible vector space.
3. A certificate that every statement in a document is true.
4. An automatic permission grant to every document reader.