Neo4j blog

Welcome, GraphAware

Neo4j is acquiring GraphAware, our longtime partner and a leading provider of intelligence analysis software for government agencies.

New research finds enterprises earn 230% ROI with Neo4j Graph Intelligence Platform

Context graphs: Why AI agents need three types of memory

What is AI-ready data? How a knowledge layer gets you there

Featured voices

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

Developer

PyNeoInstance: A user-friendly Python library for Neo4j

Using LangChain and Neo4j to process YouTube playlists and perform Q&A flow

An extremely simple but effective way to improve search over text embeddings

Slow Cypher statements and how to fix them

Object mapping in the Neo4j driver for .NET

A GenAI-powered song finder in four lines of code

LangChain v0.1 – updating GraphAcademy Neo4j & LLM courses

Divya Venkatraman

Graph database

This week in Neo4j: Knowledge graphs, NeoDash, automation, web analysis and more

Unlocking DAGs in Neo4j: From basics to critical path analysis

Unlocking DAGs in Neo4j: From basics to critical path analysis

YouTube transcripts into knowledge graphs for RAG applications

NeoDash 2.4: Unleashing the power of Neo4j graph dashboards

Building a graph & LLM-powered RAG application from PDF documents