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

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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

How GenAI provides deep understanding with knowledge graphs

Customize Property Graph Index in LlamaIndex.

Customizing property graph index in LlamaIndex

A brief history of SQL and the rise of graph queries

LLM Knowledge Graph Builder: From zero to GraphRAG in five minutes

Get Started With GraphRAG: Neo4j Ecosystem Tools

Get started with GraphRAG: Neo4j’s ecosystem tools

The GenAI graph gathering.

A tale of LLMs and graphs: The GenAI Graph Gathering

Easy data ingestion with Neo4j Runway and arrows.app

Data exploration with the Neo4j Runway Python library

Rags to Reqs: Making ASVS Accessible Through the Power of Graphs and Chatbots

Rags to reqs: Making ASVS accessible through the power of graphs and chatbots

GenAI starter kit: Everything you need to build an application with Spring AI in Java

Developer

Unleashing the power of NLP with LlamaIndex and Neo4j

From ancient epic to modern marvel: demystifying the Mahabharata chatbot with GraphRAG (part 3)