Neo4j blog

Introducing Neo4j GraphAware Financial Crime Intelligence

Move from fragmented data to connected intelligence, for better detection, deeper investigations, and defensible decisions.

Vector RAG vs. GraphRAG: Which retrieval do you need?

Scaling Karpathy’s LLM wiki: Why your knowledge base needs a graph

Independent study: GraphRAG makes AI agents 80% more truthful

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

Learn more about the new GQL project.

Cypher & GQL

Bringing the newly approved GQL project into focus

Catch this week's GraphCast: How Lyft Drives Data Discovery

GraphCast: How Lyft drives data discovery

Check out this interview with Lyft about using Neo4j.

Graph Data Science

Live from Lyft: Q&A with Mark Grover, product manager at Lyft

Learn how to innovate on real-time recommendations with Neo4j.

5 ways to innovate and delight users with real-time recommendations

Discover the latest improvements to the Neo4j Graph Algorithms library.

Faster, smarter, better: Optimizations for Neo4j graph algorithms

Network & IT operations

SQL Server advocate turns graph: 5-minute interview with Dee Pandian

Get the full schedule of online talks for NODES 2019.

NODES

Connecting our community with NODES 2019 viewing parties!

Read how you can utilize graph technology to enhance your artificial intelligence and machine learning.

How graphs enhance AI

Get the full schedule of online talks for NODES 2019.

NODES 2019: Announcing 52 online talks from leading graph experts

Neo4j News: GQL to incorporate and consider several graph database languages.

Cypher & GQL

GQL is now a global standards project alongside SQL

Catch this week's GraphCast: GraphConnect 2020

News

GraphCast: GraphConnect 2020, early bird pricing ends Oct 1st!

Learn more about implementing graph embeddings in Neo4j.

DeepWalk: Implementing graph embeddings in Neo4j