note float32 arithmetic

Author: stefano-ottolenghi

modules/ROOT/pages/functions/vector.adoc

@@ -122,6 +122,7 @@ RETURN vector(null, 3, FLOAT32) AS nullVectorValue,
 | The implementation is the same of the latest vector index provider (`vector-2.0`).
 | The similarity score ranges from `0` and `1`, with scores closer to `1` indicating a higher degree of similarity.
 | The input arguments `a` and `b` accept `VECTOR` values as of Neo4j 2025.10.
+| Floating point operations are performed with `float32` arithmetic.
 
 |===
 
@@ -153,6 +154,7 @@ For more details, see the {link-vector-indexes}#similarity-functions[vector inde
 | The implementation is the same of the latest available vector index provider (`vector-2.0`).
 | The similarity score ranges from `0` and `1`, with scores closer to `1` indicating a higher degree of similarity.
 | The input arguments `a` and `b` accept `VECTOR` values as of Neo4j 2025.10.
+| Floating point operations are performed with `float32` arithmetic.
 
 |===
 
@@ -304,6 +306,7 @@ RETURN vector_dimension_count(vector([1, 2, 3], 3, INTEGER)) AS size
 
 | The smaller the returned number, the more similar the vectors; the larger the number, the more distant the vectors.
 This is in contrast to the similarity functions where the closer to `1` the result is the higher the degree of similarity.
+| Floating point operations are performed with `float32` arithmetic.
 
 |===
 
@@ -383,6 +386,13 @@ RETURN vector_distance(vector([1.0, 5.0, 3.0, 6.7], 4, FLOAT), vector([5.0, 2.5,
 .Measure the norm between a vector and an origin vector using the `EUCLIDEAN` distance
 ====
 
+.Considerations
+|===
+
+| Floating point operations are performed with `float32` arithmetic.
+
+|===
+
 .Query
 [source, cypher]
 ----