Akhil Hemanth explores the integration of Neo4j's graph database in RAG applications tailored for healthcare building codes. The session delves into practical applications, demonstrating how Neo4j's knowledge graph enhances retrieval and generation processes. Learn about specialized techniques, such as LangSmith evaluators, for maintaining answer consistency and retrieval conditioning for optimal outcomes. This session offers a practical demonstration of implementing Neo4j's knowledge graph to enhance RAG applications, providing valuable insights into improving information management workflows.

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