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-[C# Solution accelerator for building AI apps](https://aka.ms/BuildModernAiAppsSolution)
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-[C# Azure Cosmos DB Chatbot with Azure OpenAI](https://aka.ms/cosmos-chatgpt-sample)
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### API for MongoDB
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Use the natively [integrated vector database in Azure Cosmos DB for MongoDB](mongodb/vcore/vector-search.md) (vCore architecture), which offers an efficient way to store, index, and search high-dimensional vector data directly alongside other application data. This approach removes the necessity of migrating your data to costlier alternative vector databases and provides a seamless integration of your AI-driven applications.
@@ -150,19 +150,6 @@ Use the natively integrated vector database in [Azure Cosmos DB for PostgreSQL](
> For our NoSQL API, the native integration of a state-of-the-art vector indexing algorithm will be announced during Build in May 2024. Please stay tuned.
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The natively integrated vector databaseg in the NoSQL API is under development. In the meantime, you may implement RAG patterns with Azure Cosmos DB for NoSQL and [Azure AI Search](../search/vector-search-overview.md). This approach enables powerful integration of your data residing in the NoSQL API into your AI-oriented applications.
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#### Links & Code samples
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-[What is the database behind ChatGPT? - Microsoft Mechanics](https://www.youtube.com/watch?v=6IIUtEFKJec)
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-[.NET tutorial - Build and Modernize AI Applications](https://github.com/Azure/Build-Modern-AI-Apps-Hackathon)
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-[.NET tutorial - Bring Your Data to ChatGPT](https://github.com/Azure/Vector-Search-AI-Assistant/tree/cognitive-search-vector)
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-[Azure Data + RAG samples with Azure OpenAI](https://github.com/microsoft/AzureDataRetrievalAugmentedGenerationSamples/)
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### Next step
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[30-day Free Trial without Azure subscription](https://azure.microsoft.com/try/cosmosdb/)
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