Introduce Vector abstraction

[mp911de]

A vector is a fixed-length array of non-null numeric values. Vectors are represent a point in a multidimensional space that is commonly used in machine learning and statistics.

Vector properties do not map cleanly to an existing class in the standard JDK Collections hierarchy. Vectors when used with embeddings (machine learning) represent an opaque point in the vector space that does not expose meaningful properties nor guarantees computational values to the outside world.

Recommended usage is in domain types:

class Article {
    
    Vector embedding;
}

Article article = new Article();
article.setEmbedding(Vector.of(embedding.getOutput()));

repositors.save(article);

Closes #3193