TuGraph
Is this actually an AI agent?
:mega: TuGraph-db Free Trial on Aliyun with Guide.
TuGraph is an efficient graph database that supports high data volume, low latency lookup and fast graph analytics.
Functionalities:
Performance and scalability:
An easy way to start is using docker to set up, which can be found in DockerHub, named tugraph/tugraph-runtime-[os]:[tugraph version],
for example, tugraph/tugraph-runtime-centos7:4.5.1.
For more details, please refer to quick start doc and development guide.
It's recommended to build TuGraph in linux system, and docker environment is a good choice. If you want to setup a new environment, please refer to Dockerfile.
Here are steps to compile TuGraph:
deps/build_deps.sh to build tugraph-web if you need. Skip this step otherwise.cmake .. -DOURSYSTEM=centos7 or cmake .. -DOURSYSTEM=ubuntumakemake package or cpack --config CPackConfig.cmakeExample:
tugraph/tugraph-compile-centos7Docker environment
$ git clone --recursive https://github.com/TuGraph-family/tugraph-db.git
$ cd tugraph-db
$ deps/build_deps.sh
$ mkdir build && cd build
$ cmake .. -DOURSYSTEM=centos7
$ make
$ make package
We have prepared environment docker images for compiling in DockerHub, named tugraph/tugraph-compile-[os]:[compile version],
for example, tugraph/tugraph-compile-centos7:1.3.4, which can help developers get started easily.
We have a roadmap to help you understand TuGraph.
To contribute, please read doc.
NOTICE: If you want to contribute code, you should sign a cla doc.
Official Website: tugraph.tech
Slack (For developer quick communication): TuGraph.slack
Contact us via dingtalk, email and telephone:
Thanks to all the individual developers who have contributed to this repository, which are listed below.
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