Join Discord for early access code!

Search engine for your organization!

Find any conversation, doc, or internal page in seconds ⏲️⚡️
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

🙏 - 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"

Getting Started

Install Nvidia for docker
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 CONTRIBUTING.md

gerev is also popular with some big names. 😉

Built by the community 💜

Made with contributors-img.

zlepper/gerev