Conference sessions, workshops, and presentations from events like AWS re:Invent, summits, and community meetups.
Learn how to build scalable, serverless chatbot applications using Amazon ElastiCache for caching and Amazon Aurora PostgreSQL with pgvector for semantic search and AI capabilities.
Celebrating 10 years of Amazon Aurora with a retrospective on key innovations, architectural decisions, and the future roadmap for AWS's cloud-native relational database.
A comprehensive guide to replacing Oracle database features when migrating to PostgreSQL, covering high availability patterns, stored procedures, and extensibility options.
Discover how to architect serverless chatbot solutions leveraging Amazon ElastiCache for high-performance caching and Amazon Aurora PostgreSQL for persistent storage and vector search.
Exploring security challenges in GenAI applications using vector databases, and how to protect sensitive data through encryption of embeddings and associated data chunks.
Learn how to integrate Amazon Aurora PostgreSQL as a knowledge base for Amazon Bedrock to build powerful Retrieval Augmented Generation (RAG) applications.
Learn best practices for integrating pgvector into OLTP systems, including database design patterns, indexing strategies, and performance optimization techniques for GenAI workloads.
Explore the latest features in pgvector and learn how to build AI-enabled applications using PostgreSQL's vector search capabilities.
A hands-on exploration of JSON capabilities in PostgreSQL through a practical case study, covering JSON/JSONB data types, operators, and performance optimization.
Explore why financial services organizations are increasingly adopting PostgreSQL for mission-critical workloads, covering compliance, performance, and ecosystem considerations.
Design patterns and best practices for implementing high availability and disaster recovery solutions using Amazon Aurora Global Database.
Deep dive into Amazon Aurora PostgreSQL Global Database, covering architecture, configuration, and use cases for cross-region deployments.
A comprehensive deep dive into Amazon Aurora PostgreSQL architecture, features, and best practices for building high-performance applications.
Chalk talks, workshops, builder sessions, and code talks at AWS re:Invent and other events
Interactive chalk talk on building cost-effective RAG-based generative AI applications using Amazon Aurora PostgreSQL.
Interactive chalk talk exploring how to build agentic AI workflows using Amazon Aurora PostgreSQL and the Model Context Protocol (MCP).
Hands-on builder session implementing hybrid search capabilities with Amazon Aurora PostgreSQL for Model Context Protocol (MCP) retrieval patterns.
Hands-on workshop building agentic AI-powered search applications using Amazon Aurora and Amazon RDS.