JiunYi Yang
Discover how Hi5 leverages cutting-edge technologies—Neo4j, Qdrant, and Large Language Models (LLMs)—to power our GraphRAG framework, enhancing e-commerce through an intelligent sales consultant. This session will dive into the specifics of our product data engineering, user intent recognition, and our hybrid GraphRAG querying approach, illustrating how we transform user queries into precise product recommendations. Attendees will gain insights into the integration of graph databases with vector search and AI to deliver a nuanced shopping experience.
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