Watch a live demonstration showcasing how to build an AI-powered memory wall using pgvector on Aurora PostgreSQL-Compatible Edition. Explore the transformation of over 100 Aurora milestones—including product launches, blog posts, and change logs—into vectorized "memories" that enable semantic exploration and search capabilities. Learn about the latest enhancements in pgvector 0.8.0 and discover how to supercharge vector search performance and relevance within Amazon Aurora PostgreSQL. Gain insights into creating vector-based applications that can semantically understand and retrieve information from large datasets, making this demonstration valuable for developers working with AI-powered search, recommendation systems, and knowledge management applications.