Merge pull request #93 from couchbase-examples/migrate/claudeai

Migrate claudeai to new search terminology

Author: teetangh

claudeai/fts/RAG_with_Couchbase_and_Claude(by_Anthropic).ipynb

@@ -1,11 +1,9 @@
-ANTHROPIC_API_KEY = ""
-OPENAI_API_KEY = ""
-
+ANTHROPIC_API_KEY=""
+OPENAI_API_KEY=""
 CB_HOST=""
 CB_USERNAME=""
 CB_PASSWORD=""
 CB_BUCKET_NAME=""
-
 SCOPE_NAME=""
 COLLECTION_NAME=""
-CACHE_COLLECTION=""
+CACHE_COLLECTION=""

claudeai/gsi/RAG_with_Couchbase_and_Claude(by_Anthropic).ipynb

@@ -0,0 +1,24 @@
+---
+# frontmatter
+path: "/tutorial-openai-anthropic-couchbase-rag-with-hyperscale-or-composite-vector-index"
+title: RAG with Claude using Couchbase Hyperscale and Composite Vector Index
+short_title: RAG with Claude using Couchbase Hyperscale and Composite Vector Index
+description:
+  - Learn how to build a semantic search engine using Couchbase, OpenAI embeddings, and Anthropic using Hyperscale and Composite Vector Index.
+  - This tutorial demonstrates how to integrate Couchbase's vector search capabilities with OpenAI embeddings and use Anthropic as the language model.
+  - You'll understand how to perform Retrieval-Augmented Generation (RAG) using LangChain and Couchbase.
+content_type: tutorial
+filter: sdk
+technology:
+  - vector search
+tags:
+  - Hyperscale Vector Index
+  - Composite Vector Index
+  - Artificial Intelligence
+  - LangChain
+  - OpenAI
+sdk_language:
+  - python
+length: 60 Mins
+alt_paths: ["/tutorial-openai-anthropic-couchbase-rag-with-hyperscale-vector-index", "/tutorial-openai-anthropic-couchbase-rag-with-composite-vector-index"]
+---

claudeai/gsi/frontmatter.md

@@ -1,12 +1,10 @@
-ANTHROPIC_API_KEY = ""
-OPENAI_API_KEY = ""
-
+ANTHROPIC_API_KEY=""
+OPENAI_API_KEY=""
 CB_HOST=""
 CB_USERNAME=""
 CB_PASSWORD=""
 CB_BUCKET_NAME=""
-
 INDEX_NAME=""
 SCOPE_NAME=""
 COLLECTION_NAME=""
-CACHE_COLLECTION=""
+CACHE_COLLECTION=""