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Agentic AI

The knowledge layer for enterprise AI

A manifesto for context-rich enterprise AI

Chart of the knowledge layer comprising ontologies, data, and memory

Independent study: GraphRAG makes AI agents 80% more truthful

Illustration representing a context graph for AI agent memory

Agentic AI

What is a context graph?

Welcome, GraphAware

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Emil Eifrem

CEO & Founder, Neo4j

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Sudhir Hasbe

Chief Product Officer, Neo4j

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Philip Rathle

Chief Technology Officer, Neo4j

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Most recent

Win a $250 gift card: Build Conway’s Game of Life with GraphQL for AuraDB Beta

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Use Neo4j Parallel Spark Loader to improve large-scale ingestion jobs

Implement an automated report-generation agent with crewAI and Neo4j

Introduction to the Neo4j LLM knowledge graph builder

Integrate Qdrant and Neo4j to enhance your RAG pipeline

Eagerness in Neo4j query planning explained with a little fairytale

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Integrate Neo4j with Symfony: Handling multiple connections

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Neo4j v5 long-term support and the continued evolution

Building knowledge graph agents with LlamaIndex workflows

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MicroPython and Neo4j

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Neo4j joins Linux Foundation for AI and Data