Merge pull request #94 from couchbase-examples/migrate/cohere

Migrate cohere to new search terminology

Author: teetangh

cohere/fts/RAG_with_Couchbase_and_Cohere.ipynb

@@ -1,22 +1,24 @@
 ---
 # frontmatter
-path: "/tutorial-cohere-couchbase-rag-with-global-secondary-index"
-title: Retrieval-Augmented Generation (RAG) with Couchbase and Cohere with GSI
-short_title: RAG with Couchbase and Cohere with GSI
+path: "/tutorial-cohere-couchbase-rag-with-hyperscale-or-composite-vector-index"
+title: RAG with Cohere using Couchbase Hyperscale and Composite Vector Index
+short_title: Cohere RAG with Query Vector Index
 description:
-  - Learn how to build a semantic search engine using Couchbase and Cohere using GSI.
+  - Learn how to build a semantic search engine using Couchbase and Cohere using Hyperscale and Composite Vector Index.
   - This tutorial demonstrates how to integrate Couchbase's vector search capabilities with Cohere embeddings and language models.
   - You'll understand how to perform Retrieval-Augmented Generation (RAG) using LangChain and Couchbase.
 content_type: tutorial
 filter: sdk
 technology:
   - vector search
 tags:
-  - GSI
+  - Hyperscale Vector Index
+  - Composite Vector Index
   - Artificial Intelligence
   - LangChain
   - Cohere
 sdk_language:
   - python
 length: 60 Mins
+alt_paths: ["/tutorial-cohere-couchbase-rag-with-hyperscale-vector-index", "/tutorial-cohere-couchbase-rag-with-composite-vector-index"]
 ---

cohere/gsi/RAG_with_Couchbase_and_Cohere.ipynb

@@ -1,18 +1,18 @@
 ---
 # frontmatter
-path: "/tutorial-cohere-couchbase-rag-with-fts"
-title: Retrieval-Augmented Generation (RAG) with Couchbase and Cohere using FTS service
-short_title: RAG with Couchbase and Cohere using FTS service
+path: "/tutorial-cohere-couchbase-rag-with-search-vector-index"
+title: RAG with Cohere using Couchbase Search Vector Index
+short_title: RAG with Cohere using Couchbase Search Vector Index
 description:
-  - Learn how to build a semantic search engine using Couchbase and Cohere using FTS service.
+  - Learn how to build a semantic search engine using Couchbase and Cohere using Search Vector Index.
   - This tutorial demonstrates how to integrate Couchbase's vector search capabilities with Cohere embeddings and language models.
   - You'll understand how to perform Retrieval-Augmented Generation (RAG) using LangChain and Couchbase.
 content_type: tutorial
 filter: sdk
 technology:
   - vector search
 tags:
-  - FTS
+  - Search Vector Index
   - Artificial Intelligence
   - LangChain
   - Cohere