AWS integrates vector capabilities across database portfolio

Generative AI models need proprietary business data for insights, but most large language models rely on public information. This creates challenges for enterprises developing AI tailored to their needs.

This article explores how AWS addresses these challenges by integrating vector search and storage across its database portfolio. Learn how AWS helps enterprises use existing data infrastructure for AI development, including:

· Transforming unstructured data into AI-ready formats with vector embeddings
· Examples from GoDaddy and Intuit using vector capabilities
· Balancing AI performance with cost efficiency

Discover how vector technology reshapes enterprise AI strategies.