Neo4j Q&A Session: Graphing IATI Aid Activity Data for LLM Powered Chatbots

Interested in setting up a Neo4j graph database to power your chatbot? This Q&A session guest hosted by Neo4j will provide insight on how XML data can be loaded and stored in a graph database for use by Large Language Model powered conversational AI applications.
Jennifer Reif, a Developer Advocate at Neo4j, will answer questions for students and others interested in loading aid activity information reported in compliance with IATI, an XML standard widely used across the humanitarian community by aid organizations and donors, into a Neo4j graph database. The Q&A session will touch on setting up, formatting and searching the database and cover optimizing the database for traversal by LLMs.
We’ll open the Q&A session with a couple of lightning talks on data security and humanitarian applications of large language models, including a talk by Valentin Pistorozzi, Co-founder of Boldcode, and Shvaang Sharma a PhD Researcher & Lecturer specializing in humanitarian technologies.
Questions for Jennifer can be submitted in advance of the session here