Merge main and resolve tag conflicts

Author: teetangh

test/test-markdown-frontmatter.js

@@ -5,7 +5,7 @@ const chalk = require('chalk')
 
 const sdk_languages = ['nodejs','scala','python','swift','csharp','objective-c','android-java','any','java','kotlin','dart','golang','php','c++'];
 
-const tags = ['Ottoman', 'Ktor', 'REST API', 'Express', 'Flask', 'TLS', 'Configuration', 'Next.js', 'iOS', 'Xcode', '.NET', 'Xamarin', 'Authentication', 'OpenID', 'Keycloak', 'Android', 'P2P', 'UIKit', 'Installation', 'Spring Boot', 'Spring Data', 'Transactions', 'SQL++ (N1QL)', 'Optimization', 'Community Edition', 'Docker', 'Data Modeling', 'Metadata', 'Best Practices', 'Data Ingestion', 'Kafka', 'Support', 'Customer', 'Prometheus', 'Monitoring', 'Observability', 'Metrics', 'Query Workbench', 'ASP.NET', 'linq', 'DBaaS', 'App Services', 'Flutter', 'Gin Gonic', 'FastAPI', 'Laravel', 'LangChain', 'OpenAI', 'Streamlit', 'Google Gemini', 'Nvidia NIM', 'LLama3', 'AWS', 'Artificial Intelligence', 'Cohere', 'Jina AI', 'Mistral AI', 'Ragas', 'Haystack', 'LangGraph', 'Amazon Bedrock', 'CrewAI', 'PydanticAI', 'C++', 'C++ SDK', 'smolagents', 'Ag2', 'Autogen', 'Couchbase Edge Server', 'Deepseek', 'OpenRouter', 'mastra', 'Looker Studio', 'Google Data Studio', 'Connector', 'Couchbase Columnar', 'TAVs', 'Custom Queries', 'Data API', 'FTS', 'GSI', 'Hugging Face', 'LlamaIndex', 'GraphQL', 'Semantic Kernel']
+const tags = ['Ottoman', 'Ktor', 'REST API', 'Express', 'Flask', 'TLS', 'Configuration', 'Next.js', 'iOS', 'Xcode', '.NET', 'Xamarin', 'Authentication', 'OpenID', 'Keycloak', 'Android', 'P2P', 'UIKit', 'Installation', 'Spring Boot', 'Spring Data', 'Transactions', 'SQL++ (N1QL)', 'Optimization', 'Community Edition', 'Docker', 'Data Modeling', 'Metadata', 'Best Practices', 'Data Ingestion', 'Kafka', 'Airbyte', 'Support', 'Customer', 'Prometheus', 'Monitoring', 'Observability', 'Metrics', 'Query Workbench', 'ASP.NET', 'linq', 'DBaaS', 'App Services', 'Flutter', 'Gin Gonic', 'FastAPI', 'Laravel', 'LangChain', 'OpenAI', 'Streamlit', 'Google Gemini', 'Nvidia NIM', 'LLama3', 'AWS', 'Artificial Intelligence', 'Cohere', 'Jina AI', 'Mistral AI', 'Ragas', 'Haystack', 'LangGraph', 'Amazon Bedrock', 'CrewAI', 'PydanticAI', 'C++', 'C++ SDK', 'smolagents', 'Ag2', 'Autogen', 'Couchbase Edge Server', 'Deepseek', 'OpenRouter', 'mastra', 'Looker Studio', 'Google Data Studio', 'Connector', 'Couchbase Columnar', 'TAVs', 'Custom Queries', 'Data API', 'FTS', 'GSI', 'Hugging Face', 'LlamaIndex', 'GraphQL', 'Semantic Kernel', 'Hyperscale Vector Index', 'Composite Vector Index', 'Search Vector Index']
 
 const technologies = ['connectors', 'kv', 'query', 'capella', 'server', 'index', 'mobile', 'fts', 'sync gateway', 'eventing', 'analytics', 'udf', 'vector search', 'react', 'edge-server', 'app-services', 'hyperscale vector index', 'composite vector index']
 

tutorial/markdown/aspnet/semantic-kernel/semantic-kernel-tutorial.md

@@ -1,34 +1,31 @@
 ---
 # frontmatter
-path: "/tutorial-csharp-couchbase-vector-search-semantic-kernel"
+path: "/tutorial-csharp-semantic-kernel-vector-search-with-hyperscale-or-composite-vector-index"
+alt_paths: ["/tutorial-csharp-semantic-kernel-vector-search-with-hyperscale-vector-index", "/tutorial-csharp-semantic-kernel-vector-search-with-composite-vector-index"]
 # title and description do not need to be added to markdown, start with H2 (##)
-title: Build Vector Search with Couchbase .NET Semantic Kernel Connector and OpenAI
+title: Build Vector Search with Semantic Kernel, Couchbase Hyperscale and Composite Vector Index
 short_title: Vector Search with Semantic Kernel
 description:
-  - Build a semantic search application using Couchbase Vector Search with Semantic Kernel.
+  - Build a semantic search application using Semantic Kernel with Couchbase Hyperscale and Composite Vector Index.
   - Learn to use the Couchbase .NET Vector Store Connector for Microsoft Semantic Kernel.
   - Discover how to generate embeddings with OpenAI and store them in Couchbase.
   - Perform vector similarity searches with filtering using SQL++ and ANN_DISTANCE.
 content_type: tutorial
 filter: sdk
 technology:
-  - hyperscale vector index
-  - composite vector index
+  - vector search
   - kv
 tags:
   - Semantic Kernel
   - OpenAI
   - Artificial Intelligence
+  - Hyperscale Vector Index
+  - Composite Vector Index
 sdk_language:
   - csharp
 length: 30 Mins
 ---
 
-## Repository Links
-
-- **Connector Repository**: [couchbase-semantic-kernel](https://github.com/Couchbase-Ecosystem/couchbase-semantic-kernel) - The official Couchbase .NET Vector Store Connector for Microsoft Semantic Kernel
-- **This Example**: [CouchbaseVectorSearchDemo](https://github.com/couchbase-examples/couchbase-semantic-kernel-quickstart/tree/main/CouchbaseVectorSearchDemo) - Complete working example demonstrating vector search with Couchbase
-
 ## Introduction
 
 This demo showcases the **Semantic Kernel Couchbase connector** - a .NET library that bridges Microsoft's Semantic Kernel framework with Couchbase's vector search capabilities. The connector provides a seamless integration that allows developers to build AI-powered applications using familiar Semantic Kernel abstractions while leveraging Couchbase's vector indexing for high-performance semantic search.
@@ -40,6 +37,11 @@ The connector supports three index types:
 
 This makes the connector ideal for RAG (Retrieval-Augmented Generation) applications, semantic search engines, hybrid search, and recommendation systems.
 
+### Repository Links
+
+- **Connector Repository**: [couchbase-semantic-kernel](https://github.com/Couchbase-Ecosystem/couchbase-semantic-kernel) - The official Couchbase .NET Vector Store Connector for Microsoft Semantic Kernel
+- **This Example**: [CouchbaseVectorSearchDemo](https://github.com/couchbase-examples/couchbase-semantic-kernel-quickstart/tree/main/CouchbaseVectorSearchDemo) - Complete working example demonstrating vector search with Couchbase
+
 ## Prerequisites
 
 ### Couchbase Server Setup