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Explore advanced strategies for building production-ready generative AI applications that overcome the limitations of standalone vector databases in this AWS re:Invent 2025 conference talk. Discover how PostgreSQL-compatible distributed databases provide superior synchronization, ACID compliance, and resilience while maintaining familiar developer workflows. Learn to leverage AWS Bedrock with Distributed SQL architectures, understand why standalone vector databases create production friction, and master techniques for scaling RAG (Retrieval-Augmented Generation) architectures using pgvector across multiple regions. Examine multi-agent patterns in modern AI systems and implement ultra-resilient solutions capable of handling peak traffic loads, grey failures, and disaster scenarios. Gain practical insights for developing GenAI applications that scale globally while delivering the reliability, consistency, and performance that enterprise systems require, presented by AWS Partner YugabyteDB.
Syllabus
AWS re:Invent 2025 - Beyond Vector Search: Ultra-Resilient GenAI Apps with AWS Bedrock (DAT202)
Taught by
AWS Events