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Join 100+ devs by hosting your own gerev instance, become a hero within your org! 💪

• For finding internal pages fast ⚡️

• Troubleshoot Issues 🐛

• For finding code snippets and code examples 🧑‍💻
  Coming Soon...

• Slack
• Confluence
• 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 🙏
• Jira (In Progress...)
• Zendesk (In PR 🙏)
• Stackoverflow Teams (In PR 🙏)
• Azure DevOps (In PR 🙏)
• Phabricator (In PR 🙏)
• Notion (In Progress... 🙏)
• Trello (In Progress... 🙏)
• Microsoft Teams
• Sharepoint

🙏 - by the community

See CONTRIBUTING.md for more info.

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

1. Install Nvidia for docker
2. Run 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 

Then run the docker container like so:

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

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

add -d if you want to detach the container.

See CONTRIBUTING.md

• gerev is also popular with some big names. 😉

Built by the community 💜

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