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.
Register to NODES 2024: https://bit.ly/47VqQkp
Get certified with GraphAcademy: https://dev.neo4j.com/learngraph
Neo4j AuraDB https://dev.neo4j.com/auradb
Knowledge Graph Builder https://dev.neo4j.com/KGBuilder
Neo4j GenAI https://dev.neo4j.com/graphrag
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