# Neo4J 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](https://neo4j.com/), 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 Run: ```bash docker-compose up ``` You can access Neo4J through [http://localhost:7474/](http://localhost:7474/) for an interactive cypher shell and a visualization of the graph. ## Installation without Docker Install the community edition of [Neo4j](https://neo4j.com/) along with the plugin [Apoc](https://github.com/neo4j-contrib/neo4j-apoc-procedures) on your system. To do so, go to [releases](https://neo4j.com/download-center/#releases), choose "Community Server", download the installation files for you operation system and unpack the files. Download [Neo4j Apoc](https://github.com/neo4j-contrib/neo4j-apoc-procedures/releases) 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 \(`conf/neo4j.conf`\): ``` dbms.security.procedures.unrestricted=apoc.* ``` ### Alternatives You can download [Neo4j Desktop](https://neo4j.com/download/) and run locally for development, spin up a [hosted Neo4j Sandbox instance](https://neo4j.com/download/), run Neo4j in one of the [many cloud options](https://neo4j.com/developer/guide-cloud-deployment/), [spin up Neo4j in a Docker container](https://neo4j.com/developer/docker/), on Archlinux you can install [neo4j-community from AUR](https://aur.archlinux.org/packages/neo4j-community/) or on Debian-based systems install [Neo4j from the Debian Repository](http://debian.neo4j.org/). 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](http://localhost:7474).