diff --git a/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/retrieval-augmented-generation.adoc b/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/retrieval-augmented-generation.adoc
index 7f1d0463e12..111c39518e3 100644
--- a/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/retrieval-augmented-generation.adoc
+++ b/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/retrieval-augmented-generation.adoc
@@ -13,7 +13,7 @@ NOTE: Learn more about Retrieval Augmented Generation in the xref:concepts.adoc#
 
 Spring AI provides out-of-the-box support for common RAG flows using the `Advisor` API.
 
-To use the `QuestionAnswerAdvisor` or `RetrievalAugmentationAdvisor`, you need to add the `spring-ai-advisors-vector-store` dependency to your project:
+To use the `QuestionAnswerAdvisor`, you need to add the `spring-ai-advisors-vector-store` dependency to your project:
 
 [source,xml]
 ----
@@ -130,6 +130,16 @@ Spring AI includes a xref:api/retrieval-augmented-generation.adoc#modules[librar
 The `RetrievalAugmentationAdvisor` is an `Advisor` providing an out-of-the-box implementation for the most common RAG flows,
 based on a modular architecture.
 
+To use the `RetrievalAugmentationAdvisor`, you need to add the `spring-ai-rag` dependency to your project:
+
+[source,xml]
+----
+<dependency>
+   <groupId>org.springframework.ai</groupId>
+   <artifactId>spring-ai-rag</artifactId>
+</dependency>
+----
+
 ==== Sequential RAG Flows
 
 ===== Naive RAG