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articles/cosmos-db/vector-database.md

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@@ -53,6 +53,9 @@ Use the native vector search feature in [Azure Cosmos DB for MongoDB vCore](mong
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- [.NET RAG Pattern retail reference solution](https://github.com/Azure/Vector-Search-AI-Assistant-MongoDBvCore)
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- [.NET tutorial - recipe chatbot](https://github.com/microsoft/AzureDataRetrievalAugmentedGenerationSamples/tree/main/C%23/CosmosDB-MongoDBvCore)
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- [Python notebook tutorial - Azure product chatbot](https://github.com/microsoft/AzureDataRetrievalAugmentedGenerationSamples/tree/main/Python/CosmosDB-MongoDB-vCore)
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- [Python notebook tutorial - Vector database integration through LangChain](https://python.langchain.com/docs/integrations/vectorstores/azure_cosmos_db)
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- [Python notebook tutorial - LLM Caching integration through LangChain](https://python.langchain.com/docs/integrations/llms/llm_caching#azure-cosmos-db-semantic-cache)
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- [Python - Semantic Kernel memory integration](https://github.com/microsoft/semantic-kernel/tree/main/python/semantic_kernel/connectors/memory/azure_cosmosdb)
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## Implement vector database functionalities using our API for PostgreSQL
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