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Generative AI with Azure Cosmos DB
Generative AI with Azure Cosmos DB
Leverage Azure Cosmos DB for generative AI workloads for automatic scalability, low latency, and global distribution to handle massive data volumes and real-...
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Generative AI with Azure Cosmos DB
Redefining RAG: Azure Document Intelligence + Azure CosmosDB Mongo vCore
Redefining RAG: Azure Document Intelligence + Azure CosmosDB Mongo vCore
1. About this blogThis time, I鈥檒l be developing an application designed for use within our FlyersSoft company, to improve workforce efficiency. Idea is to introduce CosmicTalent, an application designed to empower HR and managers in effectively navigating employee information. By leveraging CosmicTalent, users can efficiently filter and identify eligible employees based on specific task requirements. 馃殌 Few key takeaways Advanatages of Azure CosmosDB Mongo vCore鈥檚 native vector search capabilities over Azure Vector Search.
iamdivakarkumar.com
Redefining RAG: Azure Document Intelligence + Azure CosmosDB Mongo vCore
AzureDataRetrievalAugmentedGenerationSamples/Python/CosmosDB-NoSQL_VectorSearch/CosmosDB-NoSQL-Vector_AzureOpenAI_Tutorial.ipynb at main 路 microsoft/AzureDataRetrievalAugmentedGenerationSamples
AzureDataRetrievalAugmentedGenerationSamples/Python/CosmosDB-NoSQL_VectorSearch/CosmosDB-NoSQL-Vector_AzureOpenAI_Tutorial.ipynb at main 路 microsoft/AzureDataRetrievalAugmentedGenerationSamples
Samples to demonstrate pathways for Retrieval Augmented Generation (RAG) for Azure Data - microsoft/AzureDataRetrievalAugmentedGenerationSamples
github.com
AzureDataRetrievalAugmentedGenerationSamples/Python/CosmosDB-NoSQL_VectorSearch/CosmosDB-NoSQL-Vector_AzureOpenAI_Tutorial.ipynb at main 路 microsoft/AzureDataRetrievalAugmentedGenerationSamples