Find any conversation, doc, or internal page in seconds ⏲️⚡️
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Search focused on devs

Devs are the best early adopters, they adopt technology early and aid in spreading it to their non-technical peers. That's why gerev is focused on making a product dev's adore and love ❤️

Made for devs 👨‍💻

• For finding internal pages fast ⚡️

• Troubleshoot Issues 🐛

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

Integrations

• [x] Slack
• [x] Confluence
• [x] Google Drive (Docs, .docx, .pptx)
• [X] Confluence Cloud - by @bryan-pakulski :pray:
• [X] Bookstack - by @flifloo :pray:
• [ ] RocketChat (in PR)
• [ ] Gitlab Issues (In PR)
• [ ] Notion (In Progress...)
• [ ] Microsoft Teams
• [ ] Sharepoint

:pray: - by the community

Natural Langauge

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

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 -p 80:80 -v ~/.gerev/storage:/opt/storage gerev/gerev

CPU only (no GPU)

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

Run from source

See CONTRIBUTING.md

• gerev is also popular with some big names. 😉