diff --git a/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chat/mistralai-chat.adoc b/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chat/mistralai-chat.adoc
index b2a7cb2aa..a53638d7b 100644
--- a/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chat/mistralai-chat.adoc
+++ b/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chat/mistralai-chat.adoc
@@ -140,7 +140,7 @@ Read more about xref:api/chat/functions/mistralai-chat-functions.adoc[Mistral AI
 
 == Sample Controller (Auto-configuration)
 
-https://start.spring.io/[Create] a new Spring Boot project and add the `spring-ai-mistralai-spring-boot-starter` to your pom (or gradle) dependencies.
+https://start.spring.io/[Create] a new Spring Boot project and add the `spring-ai-mistral-ai-spring-boot-starter` to your pom (or gradle) dependencies.
 
 Add a `application.properties` file, under the `src/main/resources` directory, to enable and configure the OpenAi Chat client:
 
@@ -185,13 +185,13 @@ public class ChatController {
 
 The link:https://github.com/spring-projects/spring-ai/blob/main/models/spring-ai-mistral-ai/src/main/java/org/springframework/ai/mistralai/MistralAiChatClient.java[MistralAiChatClient] implements the `ChatClient` and `StreamingChatClient` and uses the <<low-level-api>> to connect to the MistralAI service.
 
-Add the `spring-ai-mistralai` dependency to your project's Maven `pom.xml` file:
+Add the `spring-ai-mistral-ai` dependency to your project's Maven `pom.xml` file:
 
 [source, xml]
 ----
 <dependency>
     <groupId>org.springframework.ai</groupId>
-    <artifactId>spring-ai-mistralai</artifactId>
+    <artifactId>spring-ai-mistral-ai</artifactId>
 </dependency>
 ----
 
@@ -200,7 +200,7 @@ or to your Gradle `build.gradle` build file.
 [source,groovy]
 ----
 dependencies {
-    implementation 'org.springframework.ai:spring-ai-mistralai'
+    implementation 'org.springframework.ai:spring-ai-mistral-ai'
 }
 ----
 
diff --git a/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/embeddings/mistralai-embeddings.adoc b/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/embeddings/mistralai-embeddings.adoc
index 30e91ec73..57d8c19db 100644
--- a/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/embeddings/mistralai-embeddings.adoc
+++ b/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/embeddings/mistralai-embeddings.adoc
@@ -155,12 +155,12 @@ public class EmbeddingController {
 == Manual Configuration
 
 If you are not using Spring Boot, you can manually configure the OpenAI Embedding Client.
-For this add the `spring-ai-mistralai` dependency to your project's Maven `pom.xml` file:
+For this add the `spring-ai-mistral-ai` dependency to your project's Maven `pom.xml` file:
 [source, xml]
 ----
 <dependency>
     <groupId>org.springframework.ai</groupId>
-    <artifactId>spring-ai-mistralai</artifactId>
+    <artifactId>spring-ai-mistral-ai</artifactId>
 </dependency>
 ----
 
@@ -169,13 +169,13 @@ or to your Gradle `build.gradle` build file.
 [source,groovy]
 ----
 dependencies {
-    implementation 'org.springframework.ai:spring-ai-mistralai'
+    implementation 'org.springframework.ai:spring-ai-mistral-ai'
 }
 ----
 
 TIP: Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build file.
 
-NOTE: The `spring-ai-mistralai` dependency provides access also to the `MistralAiChatClient`.
+NOTE: The `spring-ai-mistral-ai` dependency provides access also to the `MistralAiChatClient`.
 For more information about the `MistralAiChatClient` refer to the link:../chat/mistralai-chat.html[MistralAI Chat Client] section.
 
 Next, create an `MistralAiEmbeddingClient` instance and use it to compute the similarity between two input texts:
diff --git a/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/embeddings/onnx.adoc b/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/embeddings/onnx.adoc
index 20d11976c..565dafc22 100644
--- a/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/embeddings/onnx.adoc
+++ b/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/embeddings/onnx.adoc
@@ -81,7 +81,7 @@ List<List<Double>> embeddings = embeddingClient.embed(List.of("Hello world", "Wo
 
 ----
 
-NOTE: that when created manually, you must call the `afterPropertiesSet()` after setting the properties and before using the client.
+NOTE: If you create an instance of `TransformersEmbeddingClient` manually, you must call the `afterPropertiesSet()` method after setting the properties and before using the client.
 
 The first `embed()` call downloads the large ONNX model and caches it on the local file system.
 Therefore, the first call might take longer than usual.