CosmosAIGraph - AI-powered Graphs and Knowledge Graphs with Azure Cosmos DB - Ep. 95

Join us on this exciting episode of Azure Cosmos DB TV as we dive into the innovative realm of AI-powered Graphs and Knowledge Graphs with our host, Mark Brown, and esteemed guests, Chris Joakim and Aleksey Savateyev. Discover how Azure Cosmos DB is revolutionizing customer workloads by providing cost-effective and high-performance solutions for "pure graph" workloads and "AI-driven knowledge graphs and chat apps". Learn how Cosmos DB simplifies complex architectures by eliminating the need for standalone vector databases like Pinecone and graph databases like Neo4j, offering a seamless, integrated solution.

In this session, we'll explore the cutting-edge technologies that enhance Azure Cosmos DB's capabilities, including RDF technology for Knowledge Graphs (featuring triples, OWL, and SPARQL), Python with FastAPI async web framework, rdflib, and Semantic Kernel. We'll also delve into vCore-based Azure Cosmos DB for MongoDB with its advanced Vector Indexing and Search, the integration with Azure OpenAI, and the innovative "Hybrid RAG" pattern, which provides a superior alternative to traditional Vector RAG solutions. Don't miss insights into how these technologies are containerized using Docker and deployed to Azure Container Apps with Bicep, setting a new standard in the field. Tune in to learn how to leverage these advanced technologies to enhance your applications and drive innovation in your organization.

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• GitHub Repo: AI-Powered Graph and Knowledge Graph Solutions with Azure Cosmos DB - https://aka.ms/caig
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• Azure Cosmos DB TV - https://aka.ms/AzureCosmosDBLiveTV
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