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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 👨💻
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For finding internal pages fast ⚡️
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Troubleshoot Issues 🐛
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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... 🙏)
- Microsoft Teams
- Sharepoint
🙏 - 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/gerevCPU 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.