Embedded, scalable, blazing fast graph database

The easiest way to manage knowledge graphs and vectors.

Products

Trusted by

AT&T
Alibaba
BASF
Bauplan
Databricks
GTT IBM
AT&T
JPMorgan
Microsoft
Nvidia
PaloAlto
RBC Salesforce
Visteon

Open Source

  • In-process architecture
  • High performance at scale
  • Graph-native features
  • AI and Data ecosystem integration
  • MIT-licensed

Enterprise Edition

  • All open source features
  • Standalone server deployment
  • Enterprise security
  • Observability
  • Data backup and recovery

Kuzu at a Glance

Runs in-process

Embedded, no external servers. Stores on-disk or in-memory

Fast and Scalable

Columnar storage, vectorized processing, and novel join algorithms

Learn more

Cypher

Property graph data model with Cypher query language support

Full-featured

Graph-native full-text search index, HNSW vector index, algorithms package, and more

AI and Data Ecosystem

Works with LangChain, PyTorch Geometric, LlamaIndex, Pandas, Parquet, Iceberg, and more

Open-source

Free and open-source (MIT licensed) with support options

Install Kuzu

pip install kuzu

Version: 0.11.2

Support & Consultancy

Kùzu Inc. provides professional support and consultancy for using Kuzu in agentic memory, graph AI as well as other domains that use knowledge graphs.

Community Support

  • Public issue tracker
  • No guaranteed response time
  • No guaranteed resolution

Custom Support & Consultancy

  • Deployment advice
  • Feature prioritization
  • Use case-specific advice and custom development

Join Our Community

Ever wish your AI could show its work instead of guessing in a black box? With graph databases like Kuzu and AI-generated Cypher queries, you get exactly that.

Nick Talwar
Nick Talwar
CTO of Bottega8, Ex-Microsoft

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Kù-zu ('bright' + 'to know') is a Sumerian word for "wisdom"

A fast, modern graph database for really large graphs, with vector search and full text search built in

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