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kuzu

> 数据库
Open source

Embedded property graph database built for speed. Vector search and full-text search built in. Implements Cypher.

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Embedded property graph database built for speed. Vector search and full-text search built in. Implements Cypher.

[!NOTE] Kuzu is working on something new!

We are archiving the KuzuDB project here: https://github.com/kuzudb/kuzu/

For those using Kuzu currently, prior Kuzu releases will continue to be usable in the same way without modifications to your code.

If you are also using extensions, moving forward you have two options:

  1. we have a new release 0.11.3 that bundles many (but not all) of the extensions, so you can migrate to 0.11.3; or
  2. you can follow the instructions here to run a local extension server.

Further, some of our resources are moving from our website to GitHub:

  • Docs: http://kuzudb.github.io/docs
  • Blog: http://kuzudb.github.io/blog

We thank you for being early users of Kuzu and making Kuzu better over the last few years!

Kuzu

Kuzu is an embedded graph database built for query speed and scalability. Kuzu is optimized for handling complex analytical workloads on very large databases and provides a set of retrieval features, such as a full text search and vector indices. Our core feature set includes:

  • Flexible Property Graph Data Model and Cypher query language
  • Embeddable, serverless integration into applications
  • Native full text search and vector index
  • Columnar disk-based storage
  • Columnar sparse row-based (CSR) adjacency list/join indices
  • Vectorized and factorized query processor
  • Novel and very fast join algorithms
  • Multi-core query parallelism
  • Serializable ACID transactions
  • Wasm (WebAssembly) bindings for fast, secure execution in the browser

Kuzu was initially developed by Kùzu Inc. It is available under a permissible license.

Docs and Blog

To learn more about Kuzu, see our Documentation and Blog page.

Getting Started

Refer to our Getting Started page for your first example.

Extensions

Kuzu has an extension framework that users can dynamically load the functionality you need at runtime. We've developed a list of official extensions that you can use to extend Kuzu's functionality.

Kuzu requires you to install the extension before loading and using it. Note that Kuzu no longer provides the official extension server, where you can directly install any official extensions.

If you've upgraded to the latest version v0.11.3, Kuzu has pre-installed four commonly used extensions (algo, fts, json, vector) for you. You do not need to manually INSTALL these extensions.

For Kuzu versions before v0.11.3, or to install extensions that haven't been pre-installed, you have to set up a local extension server. The instructions of setting up a local extension server can be found below.

Host your own extension server

The extension server is based on NGINX and is hosted on GitHub. You can pull the Docker image and run it in your environment:

docker pull ghcr.io/kuzudb/extension-repo:latest
docker run -d -p 8080:80 ghcr.io/kuzudb/extension-repo:latest

In this example, the extension server will be available at http://localhost:8080. You can then install extensions from your server by appending the FROM clause to the INSTALL command:

INSTALL <EXTENSION_NAME> FROM 'http://localhost:8080/';

Build from Source

You can build from source using the instructions provided in the developer guide.

License

Kuzu is licensed under the MIT License.

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Highlights

  • •Flexible Property Graph Data Model and Cypher query language
  • •Embeddable, serverless integration into applications
  • •Native full text search and vector index
  • •Columnar disk-based storage
  • •Columnar sparse row-based (CSR) adjacency list/join indices
  • •Vectorized and factorized query processor
  • •Novel and very fast join algorithms
  • •Multi-core query parallelism
  • •Serializable ACID transactions
  • •Wasm (WebAssembly) bindings for fast, secure execution in the browser

> Tags

C++cypherdatabaseembeddableembedded

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> Details

PublishedAug 1, 2026
UpdatedSep 17, 2026
Category数据库
PricingOpen source

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