Merge branch 'dev' into dev_add_coll_functions

Author: rsill-neo4j

modules/ROOT/pages/constraints/managing-constraints.adoc

@@ -344,6 +344,7 @@ Added 1 constraint.
 
 ======
 
+[[vector-type-constraints]]
 .Create `VECTOR` property type constraints label:cypher[Cypher 25 only] label:new[Introduced in Neo4j 2025.10]
 ======
 

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

@@ -24,15 +24,19 @@ vector([1.05, 0.123, 5], 3, FLOAT32)
 In this example, `[1.05, 0.123, 5]` is the list of values, `3` its dimension, and `FLOAT32` the data type of the individual entries. +
 Each number in the list can also be seen as a coordinate along one of the vector's dimensions.
 
+[TIP]
+You can convert vectors into lists via the functions xref:functions/list.adoc#functions-tointegerlist[`toIntegerList()`] and xref:functions/list.adoc#functions-tofloatlist[`toFloatList()`].
+
 
 [[valid-values]]
 === Valid values
 
-- A `VECTOR` value must have a dimension and a coordinate type.
+- A `VECTOR` value must have a dimension and a coordinate type (see table below for supported types).
 - The dimension of a `VECTOR` value must be larger than `0` and less than or equal to `4096`.
 - Vectors cannot contain lists as elements.
-- Supported coordinate types are: +
-+
+
+[[supported-coordinate-types]]
+.Supported coordinate types
 [options="header",cols="2*<m"]
 |===
 | Default name | Alias
@@ -149,7 +153,7 @@ RETURN n.vectorProp AS vectorProp
 .Query
 [source, cypher]
 ----
-CREATE (n:Label {vectorProp: $floatList})
+CREATE (n:Label {vectorProp: vector($floatList, 5, FLOAT)})
 RETURN n.vectorProp AS vectorProp
 ----
 
@@ -258,6 +262,9 @@ For more information, see:
 - Storing vector embeddings as `VECTOR` properties with a defined coordinate type allows them to be stored more efficiently.
 Moreover, reducing a vector's coordinate type (e.g., from `INTEGER16` to `INTEGER8`) downsizes storage requirements and improves performance, provided all values remain within the range supported by the smaller type.
 
+[TIP]
+You can convert vectors into lists via the functions xref:functions/list.adoc#functions-tointegerlist[`toIntegerList()`] and xref:functions/list.adoc#functions-tofloatlist[`toFloatList()`].
+
 For information about how to store embeddings as `VECTOR` values with the xref:genai-integrations.adoc[GenAI plugin], see:
 
 * xref:genai-integrations.adoc#single-embedding[Generate a single embedding and store it]