Explain return values from vector functions (#1104)

Author: JPryce-Aklundh

modules/ROOT/pages/functions/vector.adoc

@@ -34,6 +34,8 @@ For more details, see the {link-vector-indexes}#similarity-functions[vector inde
 | Both vectors must be of the same dimension.
 | Both vectors must be {link-vector-indexes}#indexes-vector-similarity-cosine[*valid*] with respect to cosine similarity.
 | The implementation is identical to that of the latest available vector index provider (`vector-2.0`).
+| `vector.similarity.cosine()` returns the neighborhood of nodes along with their respective cosine similarity scores, sorted in descending order of similarity.
+The similarity score range from `0` and `1`, with scores closer to `1` indicating a higher degree of similarity between the indexed vector and the query vector.
 
 |===
 
@@ -62,6 +64,8 @@ For more details, see the {link-vector-indexes}#similarity-functions[vector inde
 | Both vectors must be of the same dimension.
 | Both vectors must be {link-vector-indexes}#indexes-vector-similarity-euclidean[*valid*] with respect to Euclidean similarity.
 | The implementation is identical to that of the latest available vector index provider (`vector-2.0`).
+| `vector.similarity.euclidean()` returns the neighborhood of nodes along with their respective Euclidean similarity scores, sorted in descending order of similarity.
+The similarity score range from `0` and `1`, with scores closer to `1` indicating a higher degree of similarity between the indexed vector and the query vector.
 
 |===