Oracle

Thinner Agents on a Smarter Substrate: The Ontology-based Semantic Layer — Emil Eifrem, Neo4j

Jul 22, 2026 · 11:06

Emil Eifrem of Neo4j argues that scaling AI agents at large enterprises requires thin agents on a smarter shared substrate built from three pillars: a business ontology naming real concepts (customers, accounts) in plain language, a technical ontology cataloging all data sources and schemas with a mapping between them, and execution traces recording each agent's attempts and outcomes. These three layers solve four problems: data discovery (teams no longer hunt from scratch), trust (top-down curation and bottom-up success signals), DRY (a single mapping propagates changes across all agents), and cross-agent learning (agents improve over time via traces). The approach is based on work with a Fortune 20 bank, a Bay Area tech platform, and a leading fintech. Eifrem says this enables many more agents without re-engineering each time.

GraphRAG: The Marriage of Knowledge Graphs and RAG: Emil Eifrem

Aug 28, 2024 · 19:15

Emil Eifrem, Neo4j co-founder and CEO, argues that GraphRAG—combining knowledge graphs with vector search—significantly improves RAG application accuracy, ease of development, and explainability. Citing studies, he reports accuracy gains of 3x (Data.org), 75-77% (LinkedIn), and Microsoft's finding that GraphRAG enables answering entirely new question types. He demonstrates Neo4j's Knowledge Graph Builder, which auto-generates graphs from PDFs, Wikipedia, and YouTube, making graph creation accessible. Eifrem frames this as the next evolution in search after PageRank and Google's knowledge graph, urging developers to adopt GraphRAG for richer context and better AI outcomes.