What we’re about
This is a group for anyone interested in or wanting to learn more about or share their knowledge about Azure Cosmos DB.
Upcoming events (1)
See all- RAG using Semantic Kernel with Azure OpenAI & Azure Cosmos DB for MongoDB vCoreLink visible for attendees
Learn about the new capabilities of Azure Cosmos DB for MongoDB vCore and Semantic Kernel that enable you to use vector search and integrate your AI-based movie recommendation applications. Vector search enables you to efficiently store, index, and query high-dimensional vector data along with operational data that is stored directly in Cosmos DB for MongoDB vCore. Semantic Kernel enables integration with Azure OpenAI to perform retrieval augmented generation (RAG) and bring everything together.
In this session, you'll learn about vector search, RAG, and the steps you need to perform to enable it using the semantic kernel, discover how to set up an Azure Cosmos DB for MongoDB vCore, deploy the Azure OpenAI chat and embedding model, learn about how the semantic kernel works, and integrate it in a quart app.
Join us in building a Flask application capable of generating responses using vector search and RAG, catering to tech enthusiasts of all expertise levels.
Useful links:
• (GitHub) RAG using Semantic Kernel with Azure OpenAI and Azure Cosmos DB for MongoDB vCore
• Azure OpenAI Service documentation
• Azure Cosmos DB for MongoDB vCore documentation
• Semantic Kernel documentation
• Use vector search on embeddings in Azure Cosmos DB for MongoDB vCore
• Semantic Kernel GitHub with Samples and Notebooks
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