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

Made for devs 👨‍💻

• For finding internal pages fast ⚡️

• Troubleshoot Issues 🐛

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

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 🙏)
• Notion (In Progress... 🙏)
• Trello (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

1. Install Nvidia for docker
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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