Dev Conference by Neo4j
Session Track: AI
Session Time:
Session description
In today's dynamic remote work environment, swiftly connecting candidates to suitable jobs is crucial. This session will reveal how Neo4j transforms traditional relational databases into responsive knowledge graphs. Learn about integrating Retrieval-Augmented Generation (RAG) to enhance job matching accuracy and adapt to the evolving job market. Join Otávio as he guides you through implementing Neo4j-based knowledge graphs, using technologies like Cypher queries and LangChain, and leveraging large language models (LLM) for improved recruitment solutions. Perfect for developers and data scientists seeking to implement cutting-edge AI in their platforms.
Senior Software Architect and Deep Learning Researcher
Otávio has 19 years of experience in Web Applications Development and 12 years as a professor in Computer Science under-graduating courses. He participated as a speaker in more than 100 events around the country (Brazil). Currently, he is a professor at UFG (one of the top 40 LATAM universities) and a PhD student in Computer Science, with Graph Neural Networks and RAG being his main areas of study.
