Neo4j Live: Entity Architecture for Efficient RAG on Graphs

​Join us live as we dive into the Entity Architecture for efficient Retrieval-Augmented Generation (RAG) on Knowledge Graphs. The architecture organizes RAG workflows into three distinct layers: an input layer for data ingestion, a middle layer for knowledge graph representation and reasoning, and an output layer for generating contextually accurate AI-driven results. Learn how this innovative approach leverages fixed entities to enhance data retrieval, improve contextual understanding and boost AI performance. Guest: Irina Adamchic, PhD Blog: https://medium.com/@irina.karkkanen/three-layer-fixed-entity-architecture-for-efficient-rag-on-graphs-787c70e3151a #genai #graphrag #entity #knowledgegraph #neo4j