Neo4j Blog

GenAI
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2025: Year of AI and Scalability

Discover how 2025 marked Neo4j’s evolution from a graph database and analytics leader into the world’s premier graph intelligence platform.

Graph-Driven AI for All: Neo4j Aura Agent Enters General Availability

Why AI Teams Are Moving From Prompt Engineering to Context Engineering

We’re honored to welcome Kapil Hetamsaria as Neo4j’s new Chief Business Officer for Strategic Partnerships and Alliances.

News

Welcoming Kapil Hetamsaria, Our Chief Business Officer for Strategic Partnerships and Alliances

Featured Voices

Emil Eifrem

CEO & Co-Founder, Neo4j, Inc.

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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

AWS and Neo4j Join Forces to Solve LLM Hallucinations and Evolve GenAI

A constellation of Orion represented as a graph with nodes and relationships.

GenAI

Advanced RAG Techniques for High-Performance LLM Applications

Knowledge Graphs and LLMs: Fine-Tuning vs. Retrieval-Augmented Generation

Learn how LLMs and knowledge graphs work together.

Unifying LLMs & Knowledge Graphs for GenAI: Use Cases & Best Practices

Knowledge Graph vs. Vector Database for Grounding Your LLM

Neo4j x LangChain: Deep Dive Into the New Vector Index Implementation

Neo4j x LangChain: Deep Dive Into the New Vector Index Implementation

Agentic AI vs. Generative AI: Why Agents Need Memory, Context, and Guardrails

What Is Context Engineering in AI? A Practical Guide

News

Reflections on the 2025 Gartner® Cloud DBMS Magic Quadrant™ and the Future of AI-Ready Data

Agentic AI

What Is an AI Agent?

GraphRAG in Action: A Simple Agent for Know-Your-Customer Investigations

RAG Tutorial: How to Build a RAG System on a Knowledge Graph