Neo4j blog

The knowledge layer for enterprise AI

A manifesto for context-rich enterprise AI

19 min read
Chart of the knowledge layer comprising ontologies, data, and memory

Independent study: GraphRAG makes AI agents 80% more truthful

4 min read
Illustration representing a context graph for AI agent memory

What is a context graph?

13 min read

Welcome, GraphAware

4 min read

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

Unlocking DAGs in Neo4j: From basics to critical path analysis

Unlocking DAGs in Neo4j: From basics to critical path analysis

10 min read

YouTube transcripts into knowledge graphs for RAG applications

11 min read

NeoDash 2.4: Unleashing the power of Neo4j graph dashboards

5 min read

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

6 min read

Why vector search didn’t work for your RAG solution?

14 min read
Best of 2023

This week in Neo4j: Best of 2023 and more

2 min read
Chris Smith

This week in Neo4j: Neo4j 5, GenAI, RAG, vector index and more

3 min read
Neo4j x LangChain: Deep dive into the new vector index implementation

Neo4j x LangChain: Deep dive into the new vector index implementation

8 min read

Convenient Neo4j integration tests in GitHub Actions using the Aura CLI

14 min read

Introducing Deno runtime to the Neo4j driver for JavaScript

7 min read
Learn how LLMs and knowledge graphs work together.

Unifying LLMs & knowledge graphs for GenAI: Use cases & best practices

5 min read

Try Neo4j’s next-gen graph-native store format

5 min read