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Integrations
Getting Started
- Cloud
- Self-Hosted

Made for help desk techies 👨‍💻

Troubleshoot Issues 🐛

Or find internal issues fast ⚡️

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

Managed Cloud (Pro)

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

Self-hosted (Community)

Install Nvidia for docker (on host that runs the docker runtime)
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. 😉

Built by the community 💜

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GerevAI/gerev