Generated markdown tutorials from Jupyter Notebooks

Generated from: couchbase-examples/vector-search-cookbook

Author: actions-user

tutorial/markdown/generated/vector-search-cookbook/haystack-gsi-RAG_with_Couchbase_Capella_and_OpenAI.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