diff --git a/haystack/gsi/frontmatter.md b/haystack/gsi/frontmatter.md
index 197f0476..2d51dc11 100644
--- a/haystack/gsi/frontmatter.md
+++ b/haystack/gsi/frontmatter.md
@@ -4,8 +4,8 @@ path: "/tutorial-openai-haystack-rag"
 title: "Retrieval-Augmented Generation (RAG) with OpenAI and Haystack"
 short_title: "RAG with Openai and Haystack"
 description:
-  - Learn how to build a semantic search engine using Couchbase's Hyperscale vector index.
-  - This tutorial demonstrates how to integrate Couchbase's Hyper scale vector search capabilities with OpenAI embeddings.
+  - Learn how to build a semantic search engine using Couchbase's GSI vector index.
+  - This tutorial demonstrates how to integrate Couchbase's GSI vector search capabilities with OpenAI embeddings.
   - You will understand how to perform Retrieval-Augmented Generation (RAG) using Haystack, Couchbase and OpenAI services.
 content_type: tutorial
 filter: sdk
diff --git a/lamaindex/gsi/___frontmatter._____md b/lamaindex/gsi/___frontmatter._____md
index f6d928fc..a15c38ee 100644
--- a/lamaindex/gsi/___frontmatter._____md
+++ b/lamaindex/gsi/___frontmatter._____md
@@ -4,8 +4,8 @@ path: "/tutorial-openai-llamaindex-rag"
 title: "Retrieval-Augmented Generation (RAG) with OpenAI and LlamaIndex"
 short_title: "RAG with Openai and LlamaIndex"
 description:
-  - Learn how to build a semantic search engine using Couchbase's Hyperscale vector search.
-  - This tutorial demonstrates how to integrate Couchbase's vector search capabilities with OpenAI embeddings.
+  - Learn how to build a semantic search engine using Couchbase's GSI vector search.
+  - This tutorial demonstrates how to integrate Couchbase's GSI vector search capabilities with OpenAI embeddings.
   - You will understand how to perform Retrieval-Augmented Generation (RAG) using LlamaIndex and GSI vector indexes.
 content_type: tutorial
 filter: sdk