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🧠 AI-powered enterprise search engine πŸ”Ž

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βš‘πŸ”Ž Live online demo!

AI-powered enterprise search engine πŸ”Ž

Join Discord for early access code!

Discord Follow DockerHub Pulls

Join here!

Search engine for your organization!

first image Find any conversation, doc, or internal page in seconds ⏲️⚑️
Join 100+ devs by hosting your own gerev instance, become a hero within your org! πŸ’ͺ

Made for help desk techies πŸ‘¨β€πŸ’»

Troubleshoot Issues πŸ›

fourth image

Or find internal issues fast ⚑️

second image

Integrations

  • Slack
  • Confluence
  • Jira
  • Google Drive (Docs, .docx, .pptx) - by @bary12 πŸ™
  • Confluence Cloud - by @bryan-pakulski πŸ™
  • Bookstack - by @flifloo πŸ™
  • Mattermost - by @itaykal πŸ™
  • RocketChat - by @flifloo πŸ™
  • Gitlab Issues - by @eran1232 πŸ™
  • Zendesk (In PR πŸ™)
  • Stackoverflow Teams (In PR πŸ™)
  • Azure DevOps (In PR πŸ™)
  • Phabricator (In PR πŸ™)
  • Trello (In PR... πŸ™)
  • Notion (In Progress... πŸ™)
  • Asana
  • Sharepoint
  • Box
  • Dropbox
  • Github Enterprise
  • Microsoft Teams

πŸ™ - by the community

Add your own data source NOW πŸš€

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)

Let's talk

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

Self-hosted (Community)

  1. Install Nvidia for docker (on host that runs the docker runtime)
  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. πŸ˜‰

first image

Built by the community πŸ’œ

Made with contributors-img.

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