GerevAI/gerev

GerevAI/gerev has 2,805 GitHub stars and 175 forks. GitHot measured -1 stars in 24 hours, -1 in 7 days, and -4 in 15 days. Last checked 2026-11-11 15:55 UTC. Last push 2023-12-29.

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🧠 AI-powered enterprise search engine 🔎

2,805 étoiles 175 forks

Progression mesurée des étoiles

in 24h: -1
in 7 days: -1
in 15 days: -4
in 1 month: Mise à jour retardée

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README.md

Original

⚡🔎 Live online demo!

AI-powered enterprise search engine 🔎

Join Discord for early access code!

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! 💪

Made for help desk techies 👨‍💻

Troubleshoot Issues 🐛

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Or find internal issues fast ⚡️

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Integrations

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

:pray: - 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. 😉

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Built by the community 💜

Made with contributors-img.