diff --git a/serverlessworkflow/antora.yml b/serverlessworkflow/antora.yml
index e8a3fc428..58ae25030 100644
--- a/serverlessworkflow/antora.yml
+++ b/serverlessworkflow/antora.yml
@@ -114,6 +114,7 @@ asciidoc:
     pnpm_install_url: https://pnpm.io/installation
     golang_install_url: https://go.dev/doc/install
     serverless_logic_web_tools_url: https://start.kubesmarts.org/
+    swf_executor_core_maven_repo_url: https://mvnrepository.com/artifact/org.kie.kogito/kogito-serverless-workflow-executor-core
     github_tokens_url: https://github.com/settings/tokens
     openshift_developer_sandbox_url: https://developers.redhat.com/developer-sandbox
     openshift_application_data_services_service_account_url: https://console.redhat.com/application-services/service-accounts
@@ -136,5 +137,4 @@ asciidoc:
     #
     data_index_xref: xref:data-index/data-index-core-concepts.adoc
     job_service_xref: xref:job-services/core-concepts.adoc
-    swf_executor_core_maven_repo: https://mvnrepository.com/artifact/org.kie.kogito/kogito-serverless-workflow-executor-core
 
diff --git a/serverlessworkflow/modules/ROOT/pages/getting-started/java-embedded-workflows.adoc b/serverlessworkflow/modules/ROOT/pages/getting-started/java-embedded-workflows.adoc
index 575b289c9..99dca3b66 100644
--- a/serverlessworkflow/modules/ROOT/pages/getting-started/java-embedded-workflows.adoc
+++ b/serverlessworkflow/modules/ROOT/pages/getting-started/java-embedded-workflows.adoc
@@ -9,7 +9,7 @@ The workflow definition to be executed can be read from a `.json` or `.yaml` fil
 [[embedded-file-quick-start]]
 == Hello world (using existing definition file)
 
-The first step is to set up an empty Maven project that includes link:{swf_executor_core_maven_repo}[Workflow executor core] dependency.
+The first step is to set up an empty Maven project that includes link:{swf_executor_core_maven_repo_url}[Workflow executor core] dependency.
 
 This guide also uses [slf4j dependency](https://mvnrepository.com/artifact/org.slf4j/slf4j-simple) to avoid using `System.out.println`