Neo4j Blog

From data to intelligence: Why every enterprise needs an AI knowledge layer

The knowledge layer maps and resolves data so AI can accurately answer questions, make better decisions, and be explainable.

4 min read
Learn what agentic RAG is, how it works, which design patterns to use, and when it beats traditional RAG.

Agentic RAG: What it is, how it works, and when to use it

17 min read
Agent Memory

A knowledge layer for your agentic systems on Google Cloud

4 min read

The data strategy that makes truly personalized customer experiences possible

9 min read

Emil Eifrem

CEO & Co-Founder, Neo4j, Inc.

See All Articles

Sudhir Hasbe

Chief Product Officer, Neo4j

See All Articles

Philip Rathle

Chief Technology Officer, Neo4j

See All Articles

Most Recent

Win a $250 Gift Card: Build Conway’s Game of Life With GraphQL for AuraDB Beta

3 min read

LLM Knowledge Graph Builder — First Release of 2025

9 min read

Use Neo4j Parallel Spark Loader to Improve Large-Scale Ingestion Jobs

14 min read

Implement an Automated Report-Generation Agent with crewAI and Neo4j

8 min read

Introduction to the Neo4j LLM Knowledge Graph Builder

11 min read

Integrate Qdrant and Neo4j to Enhance Your RAG Pipeline

4 min read

Eagerness in Neo4j Query Planning Explained With a Little Fairytale

15 min read

Integrate Neo4j With Symfony: Handling Multiple Connections

6 min read

Neo4j v5 Long-Term Support and the Continued Evolution

6 min read

Building Knowledge Graph Agents With LlamaIndex Workflows

14 min read

MicroPython and Neo4j

5 min read

Neo4j Joins Linux Foundation for AI and Data

2 min read