Set Pregel Bootstrap to test future version

Also link correctly to 2.2 branch in docs

Co-authored-by: Brian Shi <brian.shi@neotechnology.com>

Author: Mats-SX

README.adoc

@@ -95,7 +95,7 @@ OpenGDS is available to build, use, and extend under the constraints of the GNU
 
 == Using the Pregel API
 
-To build your own algorithms using the Pregel API (see at https://neo4j.com/docs/graph-data-science/current/algorithms/pregel-api/#algorithms-pregel-api-example[docs]), we recommend starting with the https://github.com/neo4j/graph-data-science/tree/1.8.0/examples/pregel-bootstrap[pregel-bootstrap project].
+To build your own algorithms using the Pregel API (see at https://neo4j.com/docs/graph-data-science/current/algorithms/pregel-api/#algorithms-pregel-api-example[docs]), we recommend starting with the https://github.com/neo4j/graph-data-science/tree/2.2/examples/pregel-bootstrap[pregel-bootstrap project].
 
 NOTE: The module on `master` depends on the unpublished version of this library. The GDS version can be changed in the `build.gradle` of the `pregel-bootstrap` module.
 

doc/modules/ROOT/pages/algorithms/pregel-api.adoc

@@ -28,7 +28,7 @@ The introduction of a new Pregel algorithm can be separated in two main steps.
 First, we need to implement the algorithm using the Pregel Java API.
 Second, we need to expose the algorithm via a Cypher procedure to make use of it.
 
-For an example on how to expose a custom Pregel computation via a Neo4j procedure, have a look at the https://github.com/neo4j/graph-data-science/tree/master/examples/pregel-example/src/main/java/org/neo4j/gds/beta/pregel[Pregel examples].
+For an example on how to expose a custom Pregel computation via a Neo4j procedure, have a look at the https://github.com/neo4j/graph-data-science/tree/{docs-version}/examples/pregel-example/src/main/java/org/neo4j/gds/beta/pregel[Pregel examples].
 
 [[algorithms-pregel-api-java]]
 == Pregel Java API
@@ -509,7 +509,7 @@ For more details, please refer to the xref:algorithms/pregel-api.adoc#algorithms
 === Building and installing a Neo4j plugin
 
 In order to use a Pregel algorithm in Neo4j via a procedure, we need to package it as Neo4j plugin.
-The https://github.com/neo4j/graph-data-science/tree/master/examples/pregel-bootstrap[pregel-bootstrap] project is a good starting point.
+The https://github.com/neo4j/graph-data-science/tree/{docs-version}/examples/pregel-bootstrap[pregel-bootstrap] project is a good starting point.
 The `build.gradle` file within the project contains all the dependencies necessary to implement a Pregel algorithm and to generate corresponding procedures.
 
 Make sure to change the `gdsVersion` and `neo4jVersion` according to your setup.
@@ -540,7 +540,7 @@ NOTE: Before `Neo4j 4.2`, the configuration setting is called `dbms.security.pro
 [[algorithms-pregel-api-example]]
 == Examples
 
-The https://github.com/neo4j/graph-data-science/tree/master/examples/pregel-example[pregel-examples] module contains a set of examples for Pregel algorithms.
+The https://github.com/neo4j/graph-data-science/tree/{docs-version}/examples/pregel-example[pregel-examples] module contains a set of examples for Pregel algorithms.
 The algorithm implementations demonstrate the usage of the Pregel API.
 Along with each example, we provide test classes that can be used as a guideline on how to write tests for custom algorithms.
 To play around, we recommend copying one of the algorithms into the `pregel-bootstrap` project, build it and setup the plugin in Neo4j.

examples/pregel-bootstrap/build.gradle

@@ -7,7 +7,7 @@ plugins {
 
 ext {
     // Make sure these are the same as your installation of GDS and Neo4j
-    gdsVersion = '2.2.3'
+    gdsVersion = '2.2.4'
     neo4jVersion = '5.1.0'
 
     // Necessary to generate value classes for Pregel configs