Merge pull request #271001 from wmwxwa/patch-12

Update vector-search.md

Author: prmerger-automator[bot]

articles/cosmos-db/mongodb/vcore/vector-search.md

@@ -488,9 +488,16 @@ This guide demonstrates how to create a vector index, add documents that have ve
 
 ## Related content
 
-- [With Semantic Kernel, orchestrate your data retrieval with Azure Cosmos DB for MongoDB vCore](/semantic-kernel/memories/vector-db#available-connectors-to-vector-databases)
+- [.NET RAG Pattern retail reference solution](https://github.com/Azure/Vector-Search-AI-Assistant-MongoDBvCore)
+- [.NET tutorial - recipe chatbot](https://github.com/microsoft/AzureDataRetrievalAugmentedGenerationSamples/tree/main/C%23/CosmosDB-MongoDBvCore)
+- [C# RAG pattern - Integrate Open AI Services with Cosmos](https://github.com/microsoft/AzureDataRetrievalAugmentedGenerationSamples/tree/main/C%23/CosmosDB-MongoDBvCore)
+- [Python RAG pattern - Azure product chatbot](https://github.com/microsoft/AzureDataRetrievalAugmentedGenerationSamples/tree/main/Python/CosmosDB-MongoDB-vCore)
+- [Python notebook tutorial - Vector database integration through LangChain](https://python.langchain.com/docs/integrations/vectorstores/azure_cosmos_db)
+- [Python notebook tutorial - LLM Caching integration through LangChain](https://python.langchain.com/docs/integrations/llms/llm_caching#azure-cosmos-db-semantic-cache)
+- [Python - LlamaIndex integration](https://docs.llamaindex.ai/en/stable/examples/vector_stores/AzureCosmosDBMongoDBvCoreDemo.html)
+- [Python - Semantic Kernel memory integration](https://github.com/microsoft/semantic-kernel/tree/main/python/semantic_kernel/connectors/memory/azure_cosmosdb)
 
 ## Next step
 
 > [!div class="nextstepaction"]
-> [Build AI apps with Integrated Vector Database in Azure Cosmos DB for MongoDB vCore](vector-search-ai.md)
+> [Create a lifetime free-tier vCore cluster for Azure Cosmos DB for MongoDB](free-tier.md)