gerev

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• Integrations
• Getting Started
  • Cloud
  • Self-Hosted

Made for help desk techies ?‍

Troubleshoot Issues ?

Or find internal issues fast ⚡️

Integrations

• Slack
• Confluence
• Jira
• Google Drive (Docs, .docx, .pptx) - by @bary12
• Confluence Cloud - by @bryan-pakulski
• Bookstack - by @flifloo
• Mattermost - by @itaykal
• RocketChat - by @flifloo
• Gitlab Issues - by @eran1232
• Zendesk (In PR )
• Stackoverflow Teams (In PR )
• Azure DevOps (In PR )
• Phabricator (In PR )
• Trello (In PR... )
• Notion (In Progress... )
• Asana
• Sharepoint
• Box
• Dropbox
• Github Enterprise
• Microsoft Teams

- by the community

Add your own data source NOW

See the full guide at ADDING-A-DATA-SOURCE.md.

Natural Language

Enables searching using natural language. such as "How to do X", "how to connect to Y", "Do we support Z"

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Getting Started

Managed Cloud (Pro)

Sign up Free

• Authentication
• Multiple Users
• GPU machine
• 24/7 Support
• Self hosted version (with multi-user also supported)

Self-hosted (Community)

1. Install Nvidia for docker (on host that runs the docker runtime)
2. Run docker

Nvidia for docker

Install nvidia container toolkit on the host machine.

distribution=$(. /etc/os-release;echo $ID$VERSION_ID) 
   && curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add - 
   && curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | sudo tee /etc/apt/sources.list.d/nvidia-docker.list
   
sudo apt-get update

sudo apt-get install -y nvidia-docker2

sudo systemctl restart docker

Run docker

Then run the docker container like so:

Nvidia hardware

docker run --gpus all --name=gerev -p 80:80 -v ~/.gerev/storage:/opt/storage gerev/gerev

CPU only (no GPU)

docker run --name=gerev -p 80:80 -v ~/.gerev/storage:/opt/storage gerev/gerev

add -d if you want to detach the container.

Run from source

See ADDING-A-DATA-SOURCE.md in the Setup development environment section.

• gerev is also popular with some big names.

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