Building Efficient AI Assistants with Semantic Ontologies on AWS

Artificial intelligence (AI) assistants are struggling to find relevant data across thousands of enterprise tables and unstructured documents, a common challenge faced by many teams when scaling large language model applications. This issue arises from the difficulty in navigating complex data landscapes, where raw schemas lack semantic relationships and business context that models need to reason effectively.