diff --git a/qdrant-landing/content/documentation/advanced-tutorials/_index.md b/qdrant-landing/content/documentation/advanced-tutorials/_index.md
index 9bd2ebf33..b2b396291 100644
--- a/qdrant-landing/content/documentation/advanced-tutorials/_index.md
+++ b/qdrant-landing/content/documentation/advanced-tutorials/_index.md
@@ -16,5 +16,4 @@ partition: qdrant
 | [Use Collaborative Filtering to Build a Movie Recommendation System with Qdrant](/documentation/advanced-tutorials/collaborative-filtering/)      | 
 | [Build a Text/Image Multimodal Search System with Qdrant and FastEmbed](/documentation/advanced-tutorials/multimodal-search-fastembed/)        | 
 | [Navigate Your Codebase with Semantic Search and Qdrant](/documentation/advanced-tutorials/code-search/)                     | 
-| [Ensure optimal large-scale PDF Retrieval with Qdrant and ColPali/ColQwen](/documentation/advanced-tutorials/pdf-retrieval-at-scale/)                     | 
-| [Build a GraphRAG Agent with Neo4J and Qdrant](/documentation/advanced-tutorials/graphrag-qdrant-neo4j/)                     | 
\ No newline at end of file
+| [Ensure optimal large-scale PDF Retrieval with Qdrant and ColPali/ColQwen](/documentation/advanced-tutorials/pdf-retrieval-at-scale/)                     | 
\ No newline at end of file
diff --git a/qdrant-landing/content/documentation/examples/graphrag-qdrant-neo4j.md b/qdrant-landing/content/documentation/examples/graphrag-qdrant-neo4j.md
index 3203b0e56..e742d5aae 100644
--- a/qdrant-landing/content/documentation/examples/graphrag-qdrant-neo4j.md
+++ b/qdrant-landing/content/documentation/examples/graphrag-qdrant-neo4j.md
@@ -1,5 +1,7 @@
 ---
 title: GraphRAG with Qdrant and Neo4j
+aliases:
+  - /documentation/advanced-tutorials/graphrag-qdrant-neo4j/
 short_description: "Integrating Qdrant and Neo4j for Graph Retrieval-Augmented Generation (GraphRAG) with structured and unstructured data."
 description: "A step-by-step guide on implementing GraphRAG with Qdrant and Neo4j, combining vector search with knowledge graphs for enhanced retrieval."
 weight: 5