Added env and frontmatter

Author: AayushTyagi1

pydantic_ai/fts/frontmatter.md

@@ -1,10 +1,10 @@
 ---
 # frontmatter
 path: "/tutorial-pydantic-ai-couchbase-rag"
-title: Retrieval-Augmented Generation (RAG) with Couchbase and PydanticAI
+title: Retrieval-Augmented Generation (RAG) with Couchbase and PydanticAI using FTS
 short_title: RAG with Couchbase and PydanticAI
 description:
-  - Learn how to build a semantic search engine using Couchbase and PydanticAI.
+  - Learn how to build a semantic search engine using Couchbase and PydanticAI using FTS.
   - This tutorial demonstrates how to integrate Couchbase's vector search capabilities with PydanticAI using tool calling.
   - You'll understand how to perform Retrieval-Augmented Generation (RAG) using PydanticAI and Couchbase.
 content_type: tutorial
@@ -16,6 +16,7 @@ tags:
   - LangChain
   - OpenAI
   - PydanticAI
+  - FTS
 sdk_language:
   - python
 length: 30 Mins

pydantic_ai/gsi/.env.sample

@@ -0,0 +1,8 @@
+OPENAI_API_KEY=
+CB_HOST=
+CB_USERNAME=
+CB_PASSWORD=
+CB_BUCKET_NAME=
+INDEX_NAME=
+SCOPE_NAME=
+COLLECTION_NAME=

pydantic_ai/gsi/frontmatter.md

@@ -0,0 +1,23 @@
+---
+# frontmatter
+path: "/tutorial-pydantic-ai-couchbase-rag"
+title: Retrieval-Augmented Generation (RAG) with Couchbase and PydanticAI using GSI
+short_title: RAG with Couchbase and PydanticAI
+description:
+  - Learn how to build a semantic search engine using Couchbase and PydanticAI using GSI.
+  - This tutorial demonstrates how to integrate Couchbase's vector search capabilities with PydanticAI using tool calling.
+  - You'll understand how to perform Retrieval-Augmented Generation (RAG) using PydanticAI and Couchbase.
+content_type: tutorial
+filter: sdk
+technology:
+  - vector search
+tags:
+  - Artificial Intelligence
+  - LangChain
+  - OpenAI
+  - PydanticAI
+  - GSI
+sdk_language:
+  - python
+length: 30 Mins
+---