Human Connection is a social network. Using a graph based database which can model nodes and edges natively - a network - feels like an obvious choice. We decided to use Neo4j, the currently most used graph database available. The community edition of Neo4J is Free and Open Source and we try our best to keep our application compatible with the community edition only.

Installation with Docker


docker-compose up

You can access Neo4J through http://localhost:7474/ for an interactive cypher shell and a visualization of the graph.

Database Indices and Constraints

Database indices and constraints need to be created when the database is running. So start the container with the command above and run:

docker-compose exec neo4j db_setup

Installation without Docker

Install the community edition of Neo4j along with the plugin Apoc on your system.

To do so, go to releases, choose "Community Server", download the installation files for you operation system and unpack the files.

Download Neo4j Apoc and drop the .jar file into the plugins folder of the just extracted Neo4j-Server.

Then make sure to allow Apoc procedures by adding the following line to your Neo4j configuration (conf/neo4j.conf):*

Database Indices and Constraints

If you have cypher-shell available with your local installation of neo4j you can run:

# in folder neo4j/
$ cp .env.template .env
$ ./

Otherwise, if you don't have cypher-shell available, copy the cypher statements from the script and paste the scripts into your database browser frontend.


You can download Neo4j Desktop and run locally for development, spin up a hosted Neo4j Sandbox instance, run Neo4j in one of the many cloud options, spin up Neo4j in a Docker container, on Archlinux you can install neo4j-community from AUR or on Debian-based systems install Neo4j from the Debian Repository. Just be sure to update the Neo4j connection string and credentials accordingly in backend/.env.

Start Neo4J and confirm the database is running at http://localhost:7474.