Neo4j Blog

Introducing AI-Powered Dashboard Creation in the Aura Console

We’re excited to announce a significant step forward for Neo4j AuraDB users: Dashboards, a powerful new tool in the Aura console.

News

Neo4j Desktop 2.0 Reimagines the Local Developer Experience

Model Context Protocol

Everything a Developer Needs to Know About the Model Context Protocol (MCP)

Knowledge graphs & LLMs for multi-hop question answering.

How to Improve Multi-Hop Reasoning With Knowledge Graphs and LLMs

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

Creating the GQL Database Language Standard.

Cypher & GQL

Creating the GQL Database Language Standard

Graph-based Metadata Filtering to Improve Vector Search in RAG Applications

Adding Retrieval-Augmented Generation (RAG) to Your GraphQL API

GQL is here: Your Cypher queries in a GQL world.

Cypher & GQL

GQL is Here: Your Cypher Queries in a GQL World

GQL: The ISO Standard for Graphs Has Arrived!

GQL: The ISO Standard for Graphs Has Arrived

Building RAG Applications With the Neo4j GenAI Stack: A Comprehensive Guide

Building RAG Applications With the Neo4j GenAI Stack: A Comprehensive Guide

Node embeddings in a knowledge graph.

The Future of Knowledge Graph: Will Structured and Semantic Search Become One?

What is retrieval-augmented generation RAG)?

GenAI

What Is Retrieval-Augmented Generation (RAG)?

Entity resolved knowledge graphs: A tutorial

Entity Resolved Knowledge Graphs: A Tutorial

Using LLMs to build knowledge graphs from unstructured text.

Constructing Knowledge Graphs From Unstructured Text Using LLMs

GQL, the future of graph databases is here.

ISO GQL: A Defining Moment in the History of Database Innovation

LangChain Library now supports Neo4j vector index.

LangChain Library Adds Full Support for Neo4j Vector Index