A search application should retrieve documents with similar meaning even when they use different words. Which representation is most appropriate for semantic similarity search?

1. Only an exact equality comparison of the complete document text.
2. Vector embeddings produced by a suitable embedding model, compared using an appropriate similarity measure.
3. The encryption ciphertext of each document compared character by character.
4. A randomly assigned document identifier treated as a semantic vector.