Haystack and llamaindex fst and gsi examples (#63)

* haystack and llamaindex example for gsi and fts

* refactor

* added not for default linear vector search

* haystack cookbook update

* composite changes

* clean up

* reverted code

* reverted code

* file name changes

* test fix

* tag name

* fix for bulk error

* ignore llama index gsi example

* tag changes

* description change

* formatter update

Author: shyam-cb

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

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