Dev Conference by Neo4j
Session Track: AI
Session Time:
Session description
Imagine you are given a great opportunity to be a server at a very prestigious restaurant. Great pay and great experience but the restaurant owner requires all servers to thoroughly know important details of the restaurant’s menu. Time is short and you need to pass server tests. What will you do? LangChain RAG and Neo4j to the rescue! The presenters will walk you through the creation of a Restaurant Server Training and Customer Simulation ChatBot that uses LangChain Neo4j Advanced Retrieval-Augmented Generation (RAG) to extract dinner menu text chunks, generate hypothetical questions with embeddings, and load them into a Neo4j graph database. This will enable truth-grounding Q&A to achieve our goal--restaurant server training and customer interaction simulation.
True Knowledge is Knowing What You Don't Know
I am a recent graduate from Liberty university with a Bachelor's in Cybersecurity. I am passionate about GenAI and knowledge graphs.
Enterprise Without a KG is like Country Without a Map.
Radu Marian has over 25 years of experience ranging from developer to architect to research and development in large enterprises and startups. Radu is keenly interested in GenAI and knowledge graphs.
