NODES 2025 - Beyond Tags: Content Discovery with Tripadvisor's Hybrid Graph Search

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9 learners

What you'll learn

This course includes

51.3 hours of video
Certificate of completion
Access on mobile and TV

Summary

Keywords

neo4j graph databases graphs LLM retrieval augmented generation RAG vector database vector search GenAI AI Artificial intelligence nodes25

Full Transcript

Hybrid Graph Search delivers a transformative solution to persistent challenges in content discovery, addressing gaps where our traditional tagging system lack coverage and suffer from stagnant management. In this session, the speaker will unveil Tripadvisor's Hybrid Graph Search architecture, which blends in-graph semantic search with traditional structural graph search. Attendees will see how this dual approach makes the Tag system more manageable and expandable by defaulting to fast, interpretable lookups when possible and reserving semantic search for record-driven tag assignment and complex topic search purposes. Speakers: Amir Afrasiabi Rad, Meng Pan, Konstantin Buzdin, Varuni Gang Resources: Get Started with Aura - https://bit.ly/3LOLrjh Deployment Center - https://bit.ly/4jOelM3 Ground AI Systems and Agents with Neo4j - https://bit.ly/4oVsnyb #nodes2025 #neo4j #graphdatabase #graphrag #knowledgegraph