Docs: start adding tabs for Maven/Gradle sections

Author: tzolov

spring-ai-docs/src/main/antora/modules/ROOT/images/model-hierarchy.jpg

@@ -31,8 +31,12 @@ To help with dependency management, Spring AI provides a BOM (bill of materials)
 == Auto-configuration
 
 Spring AI provides Spring Boot auto-configuration for the Anthropic Chat Client.
-To enable it add the following dependency to your project's Maven `pom.xml` file:
+To enable it add the following dependency to your project's Maven `pom.xml` or Gradle `build.gradle` file:
 
+[tabs]
+======
+Maven::
++
 [source, xml]
 ----
 <dependency>
@@ -41,14 +45,15 @@ To enable it add the following dependency to your project's Maven `pom.xml` file
 </dependency>
 ----
 
-or to your Gradle `build.gradle` build file.
-
+Gradle::
++
 [source,groovy]
 ----
 dependencies {
     implementation 'org.springframework.ai:spring-ai-anthropic-spring-boot-starter'
 }
 ----
+======
 
 TIP: Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build file.
 

spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chat/anthropic-chat.adoc

@@ -26,7 +26,6 @@ export SPRING_AI_AZURE_OPENAI_API_KEY=<INSERT AZURE KEY HERE>
 export SPRING_AI_AZURE_OPENAI_ENDPOINT=<INSERT ENDPOINT URL HERE>
 ----
 
-
 === OpenAI Key
 
 To authenticate with the OpenAI service (not Azure), provide an OpenAI API key. This will automatically set the endpoint to https://api.openai.com/v1.
@@ -85,8 +84,12 @@ To help with dependency management, Spring AI provides a BOM (bill of materials)
 == Auto-configuration
 
 Spring AI provides Spring Boot auto-configuration for the Azure OpenAI Chat Client.
-To enable it add the following dependency to your project's Maven `pom.xml` file:
+To enable it add the following dependency to your project's Maven `pom.xml` or Gradle `build.gradle` build files:
 
+[tabs]
+======
+Maven::
++
 [source, xml]
 ----
 <dependency>
@@ -95,14 +98,15 @@ To enable it add the following dependency to your project's Maven `pom.xml` file
 </dependency>
 ----
 
-or to your Gradle `build.gradle` build file.
-
+Gradle::
++
 [source,groovy]
 ----
 dependencies {
     implementation 'org.springframework.ai:spring-ai-azure-openai-spring-boot-starter'
 }
 ----
+======
 
 TIP: Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build file.
 

spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chat/azure-openai-chat.adoc

@@ -82,6 +82,7 @@ TIP: Refer to the xref:getting-started.adoc#dependency-management[Dependency Man
 
 You can use the following properties in your Spring Boot configuration to customize the Apache Cassandra vector store.
 
+[stripes=even]
 |===
 |Property|Default value
 

spring-ai-docs/src/main/antora/modules/ROOT/pages/api/vectordbs/apache-cassandra.adoc

@@ -46,8 +46,10 @@ Add these dependencies to your project:
 
 === 1. Select an Embeddings interface implementation. You can choose between:
 
-* OpenAI Embedding:
-
+[tabs]
+======
+OpenAI Embedding::
++
 [source,xml]
 ----
 <dependency>
@@ -56,8 +58,8 @@ Add these dependencies to your project:
 </dependency>
 ----
 
-* Or Azure AI Embedding:
-
+Azure AI Embedding::
++
 [source,xml]
 ----
 <dependency>
@@ -66,15 +68,16 @@ Add these dependencies to your project:
 </dependency>
 ----
 
-* Or Local Sentence Transformers Embedding:
-
+Local Sentence Transformers Embedding::
++
 [source,xml]
 ----
 <dependency>
  <groupId>org.springframework.ai</groupId>
  <artifactId>spring-ai-transformers-spring-boot-starter</artifactId>
 </dependency>
 ----
+======
 
 === 2. Azure (AI Search) Vector Store
 
@@ -92,6 +95,7 @@ TIP: Refer to the xref:getting-started.adoc#dependency-management[Dependency Man
 
 You can use the following properties in your Spring Boot configuration to customize the Azure vector store.
 
+[stripes=even]
 |===
 |Property|Default value
 

spring-ai-docs/src/main/antora/modules/ROOT/pages/api/vectordbs/azure.adoc

@@ -108,6 +108,7 @@ List<Document> results = vectorStore.similaritySearch(SearchRequest.query("Sprin
 
 You can use the following properties in your Spring Boot configuration to customize the vector store.
 
+[stripes=even]
 |===
 |Property| Description | Default value
 

spring-ai-docs/src/main/antora/modules/ROOT/pages/api/vectordbs/chroma.adoc

@@ -16,8 +16,12 @@ A running Elasticsearch instance. The following options are available:
 == Auto-configuration
 
 Spring AI provides Spring Boot auto-configuration for the Elasticsearch Vector Store.
-To enable it, add the following dependency to your project's Maven `pom.xml` file:
+To enable it, add the following dependency to your project's Maven `pom.xml` or Gradle `build.gradle` build files:
 
+[tabs]
+======
+Maven::
++
 [source,xml]
 ----
 <dependency>
@@ -26,29 +30,47 @@ To enable it, add the following dependency to your project's Maven `pom.xml` fil
 </dependency>
 ----
 
-or to your Gradle `build.gradle` build file.
-
+Gradle::
++
 [source,groovy]
 ----
 dependencies {
     implementation 'org.springframework.ai:spring-ai-elasticsearch-store-spring-boot-starter'
 }
 ----
-NOTE: For spring-boot versions pre 3.3.0 it's necessary to explicitly add the elasticsearch-java dependency with version > 8.13.3, otherwise the older version used will be incompatible with the queries performed:
-```
+======
+
+[NOTE]
+--
+For spring-boot versions pre 3.3.0 it's necessary to explicitly add the elasticsearch-java dependency with version > 8.13.3, otherwise the older version used will be incompatible with the queries performed:
+[tabs]
+======
+Maven::
++
+[source,xml]
+----
 <dependency>
     <groupId>co.elastic.clients</groupId>
     <artifactId>elasticsearch-java</artifactId>
     <version>8.13.3</version>
 </dependency>
-```
+----
+
+Gradle::
++
+[source,groovy]
+----
+dependencies {
+    implementation 'co.elastic.clients:elasticsearch-java:8.13.3'
+}
+----
+======
+--
 
 TIP: Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build file.
 
 TIP: Refer to the xref:getting-started.adoc#repositories[Repositories] section to add Milestone and/or Snapshot Repositories to your build file.
 
-
-
 The vector store implementation can initialize the requisite schema for you, but you must opt-in by specifying the `initializeSchema` boolean in the appropriate constructor or by setting `...initialize-schema=true` in the `application.properties` file.
 Alternatively you can opt-out the initialization and create the index manually using the Elasticsearch client, which can be useful if the index needs advanced mapping or additional configuration.
 
@@ -122,6 +144,7 @@ Spring Boot's auto-configuration feature for the Elasticsearch RestClient will c
 
 The Spring Boot properties starting with `spring.elasticsearch.*` are used to configure the Elasticsearch client:
 
+[stripes=even]
 |===
 |Property | Description | Default Value
 
@@ -139,6 +162,7 @@ The Spring Boot properties starting with `spring.elasticsearch.*` are used to co
 
 Properties starting with the `spring.ai.vectorstore.elasticsearch.*` prefix are used to configure `ElasticsearchVectorStore`.
 
+[stripes=even]
 |===
 |Property | Description | Default Value
 

spring-ai-docs/src/main/antora/modules/ROOT/pages/api/vectordbs/elasticsearch.adoc

@@ -39,6 +39,7 @@ dependencies {
 
 You can use the following properties in your Spring Boot configuration to further configure the `GemFireVectorStore`.
 
+[stripes=even]
 |===
 |Property|Default value
 

spring-ai-docs/src/main/antora/modules/ROOT/pages/api/vectordbs/gemfire.adoc

@@ -165,7 +165,7 @@ NOTE: These filter expressions are converted into the equivalent Milvus filters.
 
 You can use the following properties in your Spring Boot configuration to customize the Milvus vector store.
 
-[cols="4,5,1"]
+[cols="4,5,1",stripes=even]
 |===
 |Property| Description | Default value
 

spring-ai-docs/src/main/antora/modules/ROOT/pages/api/vectordbs/milvus.adoc

@@ -123,7 +123,7 @@ spring.ai.vectorstore.mongodb.indexName=vector_index
 spring.ai.vectorstore.mongodb.metadata-fields-to-filter=foo
 ----
 
-
+[stripes=even]
 |===
 |Property| Description | Default value