minor changes

Author: JPryce-Aklundh

modules/ROOT/pages/expressions/predicates/type-predicate-expressions.adoc

@@ -44,6 +44,8 @@ RETURN val, val IS :: INTEGER AS isInteger
 
 Whilst it is not possible to store a xref:values-and-types/vector.adoc[`VECTOR`] value without a coordinate type and dimension, it is possible to use the `VECTOR` supertype (encompassing all combinations of `VECTOR<TYPE>(DIMENSION)`) in type predicate expressions.
 
+The following examples uses a `VECTOR` (constructed using the xref:functions/vector.adoc#functions-vector[`vector()` function]) with `3` dimensions and `INTEGER8` coordinate type.
+
 .Verify a `VECTOR<TYPE>(DIMENSION)` value against the `VECTOR` supertype
 [source, cypher]
 ----

modules/ROOT/pages/values-and-types/vector.adoc

@@ -165,7 +165,7 @@ For example, using a `FLOAT32` coordinate type for a `VECTOR` can reduce storage
 For information about how to store embeddings generated by Neo4j as `VECTOR` values xref:genai-integrations.adoc[GenAI plugin] see:
 
 * xref:genai-integrations.adoc#store-single-embedding-vector[Store a single embedding as a `VECTOR` property]
-* xref:genai-integrations.adoc#store-multiple-embeddings-vector[Store multiple embeddings as a `VECTOR` properties]
+* xref:genai-integrations.adoc#store-multiple-embeddings-vector[Store multiple embeddings as `VECTOR` properties]
 
 [NOTE]
 The GenAI plugin requires an account and API credentials from a supported GenAI provider.