What does it take to build an AI system that truly understands the complex, interconnected realities of the people it is meant to help? When supporting women escaping domestic abuse, standard AI responses fall short—context, safety, and nuanced relational understanding are critical to guiding survivors toward long-term financial independence.
In this session, explore how the non-profit Creating Wings is leveraging Neo4j and GraphRAG (Graph Retrieval-Augmented Generation) to build a deeply context-aware conversational AI agent. Moving beyond basic query-answering, this system connects multi-dimensional data—from immediate safety planning to sustainable career and financial pathways—into a unified knowledge graph that models real-world human needs.
Part real-world case study and part technical deep dive, this talk highlights how combining graph databases with generative AI enables technology with true purpose. Attendees will learn practical architectural patterns for context-aware AI and discover how thoughtful engineering can create tangible pathways to safety, opportunity, and freedom.
Speaker
Kate Smith
Technical Developer Marketing Manager, Neo4j
Kate Smith serves as a Developer & Product Marketing Manager for AI at Neo4j. She previously held roles at Google, Stack Overflow, and SADA following a career pivot from classical music, where she performed as an opera singer across Europe. Kate brings a unique perspective on developer advocacy and technology adoption, blending creative storytelling with technical execution. Beyond her work in AI, she is a dedicated advocate for women in technology and a frequent speaker for non-profits dedicated to empowering women.
