Use TuringDB Community

Checkout the Github of the TuringDB Community Version If you want to support TuringDB leave us a star on Github !

Quick install. The fastest way to install TuringDB in your home directory.

curl https://install.turingdb.ai | bash

Using Claude Code? Install the TuringDB skill once and let Claude handle the rest of this quickstart for you:

npx skills add https://github.com/turing-db/turingdb-skills

Then in Claude Code run /turingdb install turingdb and create a first graph. See the Claude Code Skill page for more.

Create a Python project with TuringDB

The steps below walk you through setting up a Python project, installing the TuringDB SDK, and running your first graph.

Create a UV project

Create a new directory for your project and initialize it with uv:

mkdir my_app
cd my_app
uv init

Install TuringDB Python SDK

Using uv package manager:

uv add turingdb

or using the pip :

pip install turingdb

You can also install TuringDB using cmake: instructions on Github (link)

Running TuringDB

If you want to launch TuringDB instantly in the CLI

turingdb

If you want to launch TuringDB in the background as a daemon

turingdb -demon

To stop TuringDB running in the background:

turingdb stop

Example to create and query a graph

Create graph → list graph → create node & create edge → commit → list graphs → match query

Python SDK

from turingdb import TuringDB

# Create TuringDB client
# set host parameter to the URL (as string) on which TuringDB is running,
# default "http://localhost:6666"
client = TuringDB(host="http://localhost:6666")

# Create a new graph called my_graph
client.create_graph("mygraph")

# Set working graph
client.set_graph("mygraph")

# Create a new change on the graph
change = client.new_change()

# Checkout into the change
client.checkout(change=change)

# Create a node Person (Jane) - Edge (knows) - node (John)
client.query("CREATE (n:Person {name: 'Jane'})-[e:KNOWS]->(m:Person {name: 'John'})")

# Commit the change
client.query("COMMIT")
client.query("CHANGE SUBMIT")

# Checkout back to main
client.checkout()

# Query graph
client.query("MATCH (n) RETURN n")

Visualise the graph you have created in TuringDB

TuringDB has a built-in visualiser to explore your graphs in the browser. Launch it with the -ui flag:

turingdb -ui

Then open http://localhost:8080 in your browser.

Exploring your graph:

Launch the UI with turingdb -ui
Choose on the top right the graph you want to explore
Search a node of interest using the search tool or type a CYPHER query
Click on nodes to inspect nodes, double click to expand neighbors..etc.

You are done!

Get Started

Concepts

Benchmarks

Query Language

Importing data

Graph Development

Vector Search

Graph Algorithms

Tutorials

Python SDK

Troubleshooting

Use TuringDB Community

Create a Python project with TuringDB

Create a UV project

Install TuringDB Python SDK

Running TuringDB

Example to create and query a graph

Python SDK

Visualise the graph you have created in TuringDB

Exploring your graph:

​Create a Python project with TuringDB

Create a UV project

Install TuringDB Python SDK

Running TuringDB

Example to create and query a graph

​Python SDK

Visualise the graph you have created in TuringDB

​Exploring your graph:

Create a Python project with TuringDB

Python SDK

Exploring your graph: