How to build a generative AI application with Amazon Aurora PostgreSQL | The Data Dive on AWS OnAir

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AWS Events

AWS Events

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As generative AI revolutionizes industries worldwide, building scalable, compliant, and high-performance applications is crucial to remain competitive in this global landscape. In this episode, learn how Amazon Aurora PostgreSQL features empower developers to create cutting-edge AI solutions that meet strict compliance requirements while delivering exceptional performance at a global scale. Discover how to leverage key Aurora PostgreSQL capabilities including Aurora Global Database for global read scaling, Aurora Serverless architecture for automatic scaling and cost optimization, Optimized Reads for enhanced query performance, row-level security for granular data protection, and how to join relational and vector data for context-aware AI applications. Learn how you can leverage these features to build robust generative AI applications that efficiently manage multiple data sources and implement sophisticated security measures. Whether you're an experienced database architect or an AI developer, gain valuable insights into optimizing Aurora PostgreSQL for your next-generation AI projects, enabling you to scale effortlessly and serve a global customer base.
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#AmazonAurora #Aurora #AuroraPostgreSQL #postgreSQL #generativeAI #pgvector #LangChain #AmazonBedrock #KnowledgeBases #vectorsearch #RAG #Retrieval-augmentedgeneration #embeddings #sentimentanalysis

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