Add additional pointers to help setup dependencies in each ChatClient and EmbeddingClient docs

README.md

@@ -92,10 +92,11 @@ You can find more details in the [Reference Documentation](https://docs.spring.i
 
 ### Interacting with AI Models
 
-**AI Client:** A foundational feature of Spring AI is a standardized client API for interfacing with generative AI models. With this common API, you can initially target g [OpenAI's Chat endpoint](https://platform.openai.com/docs/api-reference/chat) and easily swap about the implementation to use other platforms, such as [HuggingFace's Inference Endpoints](https://huggingface.co/inference-endpoints)
+**ChatClient:** A foundational feature of Spring AI is a portable client API for interacting with generative AI models.  With this portable API, you can initially target one AI chat model, for example OpenAI and then easily swap out the implementation to another AI chat model, for example Amazon Bedrock's Anthropic Model.  When necessary, you can also drop down to use non-portable model options.
 
-Dive deeper into [Models](https://docs.spring.io/spring-ai/reference/concepts.html#_models). in our concept guide.
-For usage details, consult the  [ChatClient API guide](https://docs.spring.io/spring-ai/reference/api/aiclient.html)
+Spring AI supports many AI models.  For an overview see here.  Specific models currently supported are
+* OpenAI
+* 
 
 
 **Prompts:** Central to AI model interaction is the Prompt, which provides specific instructions for the AI to act upon.

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

@@ -17,6 +17,13 @@ export SPRING_AI_AZURE_OPENAI_API_KEY=<INSERT KEY HERE>
 export SPRING_AI_AZURE_OPENAI_ENDPOINT=<INSERT ENDPOINT URL HERE>
 ----
 
+=== Add Repositories and BOM
+
+Spring AI artifacts are published in Spring Milestone and Snapshot repositories.   Refer to the xref:getting-started.adoc#repositories[Repositories] section to add these repositories to your build system.
+
+To help with dependency management, Spring AI provides a BOM (bill of materials) to ensure that a consistent version of Spring AI is used throughout the entire project. Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build system.
+
+
 == Auto-configuration
 
 Spring AI provides Spring Boot auto-configuration for the Azure OpenAI Chat Client.
@@ -40,7 +47,7 @@ dependencies {
 }
 ----
 
-TIP: Refer to the xref:getting-started.adoc#_dependency_management[Dependency Management] section to add Milestone and/or Snapshot Repositories 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.
 
 === Chat Properties
 

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

@@ -13,6 +13,13 @@ The https://aws.amazon.com/bedrock/claude[AWS Bedrock Anthropic Model Page] and
 
 Refer to the xref:api/bedrock.adoc[Spring AI documentation on Amazon Bedrock] for setting up API access.
 
+=== Add Repositories and BOM
+
+Spring AI artifacts are published in Spring Milestone and Snapshot repositories.   Refer to the xref:getting-started.adoc#repositories[Repositories] section to add these repositories to your build system.
+
+To help with dependency management, Spring AI provides a BOM (bill of materials) to ensure that a consistent version of Spring AI is used throughout the entire project. Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build system.
+
+
 == Auto-configuration
 
 Add the `spring-ai-bedrock-ai-spring-boot-starter` dependency to your project's Maven `pom.xml` file:
@@ -174,7 +181,7 @@ dependencies {
 }
 ----
 
-TIP: Refer to the xref:getting-started.adoc#_dependency_management[Dependency Management] section to add Milestone and/or Snapshot Repositories 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.
 
 Next, create an https://github.com/spring-projects/spring-ai/blob/main/models/spring-ai-bedrock/src/main/java/org/springframework/ai/bedrock/anthropic/BedrockAnthropicChatClient.java[BedrockAnthropicChatClient] and use it for text generations:
 

spring-ai-docs/src/main/antora/modules/ROOT/pages/api/clients/bedrock/bedrock-cohere.adoc

@@ -9,6 +9,13 @@ The https://aws.amazon.com/bedrock/cohere-command-embed/[AWS Bedrock Cohere Mode
 
 Refer to the xref:api/bedrock.adoc[Spring AI documentation on Amazon Bedrock] for setting up API access.
 
+=== Add Repositories and BOM
+
+Spring AI artifacts are published in Spring Milestone and Snapshot repositories.   Refer to the xref:getting-started.adoc#repositories[Repositories] section to add these repositories to your build system.
+
+To help with dependency management, Spring AI provides a BOM (bill of materials) to ensure that a consistent version of Spring AI is used throughout the entire project. Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build system.
+
+
 == Auto-configuration
 
 Add the `spring-ai-bedrock-ai-spring-boot-starter` dependency to your project's Maven `pom.xml` file:
@@ -172,7 +179,7 @@ dependencies {
 }
 ----
 
-TIP: Refer to the xref:getting-started.adoc#_dependency_management[Dependency Management] section to add Milestone and/or Snapshot Repositories 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.
 
 Next, create an https://github.com/spring-projects/spring-ai/blob/main/models/spring-ai-bedrock/src/main/java/org/springframework/ai/bedrock/cohere/BedrockCohereChatClient.java[BedrockCohereChatClient] and use it for text generations:
 

spring-ai-docs/src/main/antora/modules/ROOT/pages/api/clients/bedrock/bedrock-llama2.adoc

@@ -13,6 +13,13 @@ The https://aws.amazon.com/bedrock/llama-2/[AWS Llama 2 Model Page] and https://
 
 Refer to the xref:api/bedrock.adoc[Spring AI documentation on Amazon Bedrock] for setting up API access.
 
+=== Add Repositories and BOM
+
+Spring AI artifacts are published in Spring Milestone and Snapshot repositories.   Refer to the xref:getting-started.adoc#repositories[Repositories] section to add these repositories to your build system.
+
+To help with dependency management, Spring AI provides a BOM (bill of materials) to ensure that a consistent version of Spring AI is used throughout the entire project. Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build system.
+
+
 == Auto-configuration
 
 Add the `spring-ai-bedrock-ai-spring-boot-starter` dependency to your project's Maven `pom.xml` file:
@@ -170,7 +177,7 @@ dependencies {
 }
 ----
 
-TIP: Refer to the xref:getting-started.adoc#_dependency_management[Dependency Management] section to add Milestone and/or Snapshot Repositories 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.
 
 Next, create an https://github.com/spring-projects/spring-ai/blob/main/models/spring-ai-bedrock/src/main/java/org/springframework/ai/bedrock/llama2/BedrockLlama2ChatClient.java[BedrockLlama2ChatClient] and use it for text generations:
 

spring-ai-docs/src/main/antora/modules/ROOT/pages/api/clients/bedrock/bedrock-titan.adoc

@@ -10,6 +10,13 @@ The https://aws.amazon.com/bedrock/titan/[AWS Bedrock Titan Model Page] and http
 
 Refer to the xref:api/bedrock.adoc[Spring AI documentation on Amazon Bedrock] for setting up API access.
 
+=== Add Repositories and BOM
+
+Spring AI artifacts are published in Spring Milestone and Snapshot repositories.   Refer to the xref:getting-started.adoc#repositories[Repositories] section to add these repositories to your build system.
+
+To help with dependency management, Spring AI provides a BOM (bill of materials) to ensure that a consistent version of Spring AI is used throughout the entire project. Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build system.
+
+
 == Auto-configuration
 
 Add the `spring-ai-bedrock-ai-spring-boot-starter` dependency to your project's Maven `pom.xml` file:
@@ -168,7 +175,7 @@ dependencies {
 }
 ----
 
-TIP: Refer to the xref:getting-started.adoc#_dependency_management[Dependency Management] section to add Milestone and/or Snapshot Repositories 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.
 
 Next, create an https://github.com/spring-projects/spring-ai/blob/main/models/spring-ai-bedrock/src/main/java/org/springframework/ai/bedrock/titan/BedrockTitanChatClient.java[BedrockTitanChatClient] and use it for text generations:
 

spring-ai-docs/src/main/antora/modules/ROOT/pages/api/clients/image/openai-image.adoc

@@ -38,7 +38,7 @@ dependencies {
 }
 ----
 
-TIP: Refer to the xref:getting-started.adoc#_dependency_management[Dependency Management] section to add Milestone and/or Snapshot Repositories 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.
 
 
 === Image Generation Properties

spring-ai-docs/src/main/antora/modules/ROOT/pages/api/clients/image/stabilityai-image.adoc

@@ -37,7 +37,7 @@ dependencies {
 }
 ----
 
-TIP: Refer to the xref:getting-started.adoc#_dependency_management[Dependency Management] section to add Milestone and/or Snapshot Repositories 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.
 
 
 === Image Generation Properties

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

@@ -10,6 +10,13 @@ Refer to the official Ollama project link:https://github.com/jmorganca/ollama[RE
 
 NOTE: installing `ollama run llama2` will download a 4GB docker image.
 
+=== Add Repositories and BOM
+
+Spring AI artifacts are published in Spring Milestone and Snapshot repositories.   Refer to the xref:getting-started.adoc#repositories[Repositories] section to add these repositories to your build system.
+
+To help with dependency management, Spring AI provides a BOM (bill of materials) to ensure that a consistent version of Spring AI is used throughout the entire project. Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build system.
+
+
 == Auto-configuration
 
 Spring AI provides Spring Boot auto-configuration for the Ollama Chat Client.
@@ -33,7 +40,7 @@ dependencies {
 }
 ----
 
-TIP: Refer to the xref:getting-started.adoc#_dependency_management[Dependency Management] section to add Milestone and/or Snapshot Repositories 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.
 
 === Chat Properties
 

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

@@ -14,6 +14,14 @@ Exporting an environment variable is one way to set that configuration property:
 export SPRING_AI_OPENAI_API_KEY=<INSERT KEY HERE>
 ----
 
+=== Add Repositories and BOM
+
+Spring AI artifacts are published in Spring Milestone and Snapshot repositories.   Refer to the xref:getting-started.adoc#repositories[Repositories] section to add these repositories to your build system.
+
+To help with dependency management, Spring AI provides a BOM (bill of materials) to ensure that a consistent version of Spring AI is used throughout the entire project. Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build system.
+
+
+
 == Auto-configuration
 
 Spring AI provides Spring Boot auto-configuration for the OpenAI Chat Client.
@@ -37,7 +45,7 @@ dependencies {
 }
 ----
 
-TIP: Refer to the xref:getting-started.adoc#_dependency_management[Dependency Management] section to add Milestone and/or Snapshot Repositories to your build file.
+TIP: Refer to the xref:getting-started.adoc#dependency_management[Dependency Management] section to add Milestone and/or Snapshot Repositories to your build file.
 
 === Chat Properties
 
@@ -177,7 +185,7 @@ dependencies {
 }
 ----
 
-TIP: Refer to the xref:getting-started.adoc#_dependency_management[Dependency Management] section to add Milestone and/or Snapshot Repositories 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.
 
 Next, create a `OpenAiChatClient` and use it for text generations:
 

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

@@ -18,6 +18,13 @@ Exporting an environment variable is one way to set that configuration property:
 export SPRING_AI_VERTEX_AI_API_KEY=<INSERT KEY HERE>
 ----
 
+=== Add Repositories and BOM
+
+Spring AI artifacts are published in Spring Milestone and Snapshot repositories.   Refer to the xref:getting-started.adoc#repositories[Repositories] section to add these repositories to your build system.
+
+To help with dependency management, Spring AI provides a BOM (bill of materials) to ensure that a consistent version of Spring AI is used throughout the entire project. Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build system.
+
+
 == Auto-configuration
 
 Spring AI provides Spring Boot auto-configuration for the VertexAI Chat Client.
@@ -41,7 +48,7 @@ dependencies {
 }
 ----
 
-TIP: Refer to the xref:getting-started.adoc#_dependency_management[Dependency Management] section to add Milestone and/or Snapshot Repositories 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.
 
 === Chat Properties
 
@@ -159,7 +166,7 @@ dependencies {
 }
 ----
 
-TIP: Refer to the xref:getting-started.adoc#_dependency_management[Dependency Management] section to add Milestone and/or Snapshot Repositories 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.
 
 Next, create a `VertexAiChatClient` and use it for text generations:
 

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

@@ -22,6 +22,13 @@ export SPRING_AI_AZURE_OPENAI_API_KEY=<INSERT KEY HERE>
 export SPRING_AI_AZURE_OPENAI_ENDPOINT=<INSERT ENDPOINT URL HERE>
 ----
 
+=== Add Repositories and BOM
+
+Spring AI artifacts are published in Spring Milestone and Snapshot repositories.   Refer to the xref:getting-started.adoc#repositories[Repositories] section to add these repositories to your build system.
+
+To help with dependency management, Spring AI provides a BOM (bill of materials) to ensure that a consistent version of Spring AI is used throughout the entire project. Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build system.
+
+
 == Auto-configuration
 
 Spring AI provides Spring Boot auto-configuration for the Azure OpenAI Embedding Client.

spring-ai-docs/src/main/antora/modules/ROOT/pages/api/embeddings/bedrock-cohere-embedding.adoc

@@ -9,6 +9,12 @@ The https://aws.amazon.com/bedrock/cohere-command-embed/[AWS Bedrock Cohere Mode
 
 Refer to the xref:api/bedrock.adoc[Spring AI documentation on Amazon Bedrock] for setting up API access.
 
+=== Add Repositories and BOM
+
+Spring AI artifacts are published in Spring Milestone and Snapshot repositories.   Refer to the xref:getting-started.adoc#repositories[Repositories] section to add these repositories to your build system.
+
+To help with dependency management, Spring AI provides a BOM (bill of materials) to ensure that a consistent version of Spring AI is used throughout the entire project. Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build system.
+
 == Auto-configuration
 
 Add the `spring-ai-bedrock-ai-spring-boot-starter` dependency to your project's Maven `pom.xml` file:
@@ -31,7 +37,7 @@ dependencies {
 }
 ----
 
-TIP: Refer to the xref:getting-started.adoc#_dependency_management[Dependency Management] section to add Milestone and/or Snapshot Repositories 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.
 
 === Enable Cohere Embedding Support
 
@@ -157,7 +163,7 @@ dependencies {
 }
 ----
 
-TIP: Refer to the xref:getting-started.adoc#_dependency_management[Dependency Management] section to add Milestone and/or Snapshot Repositories 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.
 
 Next, create an https://github.com/spring-projects/spring-ai/blob/main/models/spring-ai-bedrock/src/main/java/org/springframework/ai/bedrock/cohere/BedrockCohereEmbeddingClient.java[BedrockCohereEmbeddingClient] and use it for text embeddings:
 

spring-ai-docs/src/main/antora/modules/ROOT/pages/api/embeddings/bedrock-titan-embedding.adoc

@@ -15,6 +15,13 @@ The https://aws.amazon.com/bedrock/titan/[AWS Bedrock Titan Model Page] and http
 
 Refer to the xref:api/bedrock.adoc[Spring AI documentation on Amazon Bedrock] for setting up API access.
 
+=== Add Repositories and BOM
+
+Spring AI artifacts are published in Spring Milestone and Snapshot repositories.   Refer to the xref:getting-started.adoc#repositories[Repositories] section to add these repositories to your build system.
+
+To help with dependency management, Spring AI provides a BOM (bill of materials) to ensure that a consistent version of Spring AI is used throughout the entire project. Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build system.
+
+
 == Auto-configuration
 
 Add the `spring-ai-bedrock-ai-spring-boot-starter` dependency to your project's Maven `pom.xml` file:
@@ -37,7 +44,7 @@ dependencies {
 }
 ----
 
-TIP: Refer to the xref:getting-started.adoc#_dependency_management[Dependency Management] section to add Milestone and/or Snapshot Repositories 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.
 
 === Enable Titan Embedding Support
 
@@ -140,7 +147,7 @@ dependencies {
 }
 ----
 
-TIP: Refer to the xref:getting-started.adoc#_dependency_management[Dependency Management] section to add Milestone and/or Snapshot Repositories 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.
 
 Next, create an https://github.com/spring-projects/spring-ai/blob/main/models/spring-ai-bedrock/src/main/java/org/springframework/ai/bedrock/titan/BedrockTitanEmbeddingClient.java[BedrockTitanEmbeddingClient] and use it for text embeddings:
 

spring-ai-docs/src/main/antora/modules/ROOT/pages/api/embeddings/ollama-embeddings.adoc

@@ -15,6 +15,12 @@ Refer to the official Ollama project link:https://github.com/jmorganca/ollama[RE
 
 Note, installing `ollama run llama2` will download a 4GB docker image.
 
+=== Add Repositories and BOM
+
+Spring AI artifacts are published in Spring Milestone and Snapshot repositories.   Refer to the xref:getting-started.adoc#repositories[Repositories] section to add these repositories to your build system.
+
+To help with dependency management, Spring AI provides a BOM (bill of materials) to ensure that a consistent version of Spring AI is used throughout the entire project. Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build system.
+
 
 == Auto-configuration
 
@@ -39,7 +45,7 @@ dependencies {
 }
 ----
 
-NOTE: Refer to the xref:getting-started.adoc#_dependency_management[Dependency Management] section to add Milestone and/or Snapshot Repositories to your build file.
+NOTE: Refer to the xref:getting-started.adoc#repositories[Repositories] section to add Milestone and/or Snapshot Repositories to your build file.
 
 The `spring.ai.ollama.embedding.options.*` properties are used to configure the default options used for all embedding requests.
 (It is used as `OllamaEmbeddingClient#withDefaultOptions()` instance).

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

@@ -17,6 +17,13 @@ Exporting an environment variable is one way to set that configuration property:
 export SPRING_AI_OPENAI_API_KEY=<INSERT KEY HERE>
 ----
 
+=== Add Repositories and BOM
+
+Spring AI artifacts are published in Spring Milestone and Snapshot repositories.   Refer to the xref:getting-started.adoc#repositories[Repositories] section to add these repositories to your build system.
+
+To help with dependency management, Spring AI provides a BOM (bill of materials) to ensure that a consistent version of Spring AI is used throughout the entire project. Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build system.
+
+
 == Auto-configuration
 
 Spring AI provides Spring Boot auto-configuration for the Azure OpenAI Embedding Client.
@@ -40,7 +47,7 @@ dependencies {
 }
 ----
 
-NOTE: Refer to the xref:getting-started.adoc#_dependency_management[Dependency Management] section to add Milestone and/or Snapshot Repositories to your build file.
+NOTE: Refer to the xref:getting-started.adoc#repositories[Repositories] section to add Milestone and/or Snapshot Repositories to your build file.
 
 === Embedding Properties
 

spring-ai-docs/src/main/antora/modules/ROOT/pages/api/embeddings/postgresml-embeddings.adoc

@@ -9,6 +9,13 @@ Embeddings can be used to find similar pieces of text, by comparing the similari
 Many pre-trained LLMs can be used to generate embeddings from text within PostgresML.
 You can browse all the https://huggingface.co/models?library=sentence-transformers[models] available to find the best solution on Hugging Face.
 
+== Add Repositories and BOM
+
+Spring AI artifacts are published in Spring Milestone and Snapshot repositories.   Refer to the xref:getting-started.adoc#repositories[Repositories] section to add these repositories to your build system.
+
+To help with dependency management, Spring AI provides a BOM (bill of materials) to ensure that a consistent version of Spring AI is used throughout the entire project. Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build system.
+
+
 == Auto-configuration
 
 Spring AI provides Spring Boot auto-configuration for the Azure PostgresML Embedding Client.
@@ -32,7 +39,7 @@ dependencies {
 }
 ----
 
-NOTE: Refer to the xref:getting-started.adoc#_dependency_management[Dependency Management] section to add Milestone and/or Snapshot Repositories to your build file.
+NOTE: Refer to the xref:getting-started.adoc#repositories[Repositories] section to add Milestone and/or Snapshot Repositories to your build file.
 
 Use the `spring.ai.postgresml.embedding.options.*` properties to configure your `PostgresMlEmbeddingClient`. links
 

spring-ai-docs/src/main/antora/modules/ROOT/pages/api/embeddings/vertexai-embeddings.adoc

@@ -18,6 +18,13 @@ Exporting an environment variable is one way to set that configuration property:
 export SPRING_AI_VERTEX_AI_API_KEY=<INSERT KEY HERE>
 ----
 
+=== Add Repositories and BOM
+
+Spring AI artifacts are published in Spring Milestone and Snapshot repositories.   Refer to the xref:getting-started.adoc#repositories[Repositories] section to add these repositories to your build system.
+
+To help with dependency management, Spring AI provides a BOM (bill of materials) to ensure that a consistent version of Spring AI is used throughout the entire project. Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build system.
+
+
 == Auto-configuration
 
 Spring AI provides Spring Boot auto-configuration for the VertexAI Embedding Client.
@@ -41,7 +48,7 @@ dependencies {
 }
 ----
 
-TIP: Refer to the xref:getting-started.adoc#_dependency_management[Dependency Management] section to add Milestone and/or Snapshot Repositories 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.
 
 === Chat Properties
 
@@ -126,7 +133,7 @@ dependencies {
 }
 ----
 
-TIP: Refer to the xref:getting-started.adoc#_dependency_management[Dependency Management] section to add Milestone and/or Snapshot Repositories 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.
 
 Next, create a `VertexAiEmbeddingClient` and use it for text generations:
 

spring-ai-docs/src/main/antora/modules/ROOT/pages/api/vectordbs/neo4j.adoc

@@ -42,7 +42,7 @@ dependencies {
 }
 ----
 
-TIP: Refer to the xref:getting-started.adoc#_dependency_management[Dependency Management] section to add Milestone and/or Snapshot Repositories 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.
 
 == Configuration
 
@@ -103,7 +103,7 @@ dependencies {
 
 Please have a look at the list of xref:#_neo4jvectorstore_properties[configuration parameters] for the vector store to learn about the default values and configuration options.
 
-TIP: Refer to the xref:getting-started.adoc#_dependency_management[Dependency Management] section to add Milestone and/or Snapshot Repositories 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.
 
 Additionally, you will need a configured `EmbeddingClient` bean. Refer to the xref:api/embeddings.adoc#available-implementations[EmbeddingClient] section for more information.
 

spring-ai-docs/src/main/antora/modules/ROOT/pages/getting-started.adoc

@@ -81,7 +81,7 @@ spring project list
 [[repositories]]
 == Add Milestone and Snapshot Repositories
 
-If you would prefer to add the dependency snippets by hand, follow the directions in the following secitons.
+If you prefer to add the dependency snippets by hand, follow the directions in the following secitons.
 
 To use the Milestone and Snapshot version, you need to add references to the Spring Milestone and/or Snapshot repositories in your build file.