Amy Quinton

Vector Databases and the Data Structure of AI ft. MongoDB’s Sahir Azam

Sahir Azam, Sonya Huang, Pat Grady, Amy Quinton

This session explores the evolution of quality engineering for probabilistic software, highlighting how traditional deterministic models are being replaced by RAG architectures and vector databases to achieve 99.99% reliability in enterprise environments. It details concrete ROI from the automotive and pharmaceutical sectors, where embedding models and large language models have drastically reduced diagnosis times and automated complex clinical reporting while preserving data sovereignty. The discussion concludes by framing databases as the essential memory layer for AI agents, emphasizing MongoDB's strategy to unify structured, unstructured, and vector data into a single system that supports the next generation of agent-driven workflows.