GerevAI/gerev：🧠 AI-powered enterprise searc

GerevAI

2.8k

175 26

MIT License

项目介绍

GerevAI/gerev 是一个托管在 GitHub 上的开源项目，主要使用 Python 编写，采用 MIT License 许可证，目前获得 2.8k 个 Star、175 次 Fork。

仓库全名: GerevAI/gerev
开源许可证: MIT License
Star 数: 2.8k
Fork 数: 175
未关闭 Issue: 26

README 摘要

⚡🔎 Live online demo! AI-powered enterprise search engine 🔎 Join Discord for early access code! [docker-pull]: https://hub.docker.com/r/gerev/gerev Join here! 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! 💪 Integrations Getting Started Cloud Self-Hosted Made for help desk techies…

完整内容见 GitHub 原始 README 或本页。

常见问题

gerev 用什么语言开发？

主要使用 Python 编写，采用 MIT License 许可证，目前有 2.8k 个 Star。

gerev 可以免费商用吗？

如何获取 gerev 的源码？

可以直接克隆仓库：git clone https://github.com/GerevAI/gerev.git，默认分支为 main；安装与运行步骤见仓库 README。

gerev 最近还在维护吗？

仓库最近一次更新为 2023年12月29日，当前有 26 个未关闭 Issue；Star 数为 2.8k，可作为社区活跃度的参考。

简要分析

热度分

3175

价值分

1736

活跃状态

活跃

ai chatgpt confluence enterprise-search helpdesk helpdesk-tools llama-index machine-learning search-engine semantic-search-engine similarity-search sysadmin tech-support technical-support vector-search workplace-search

GitHub

语言占比

CSS

Dockerfile

HTML

JavaScript

Mako

Python

Shell

TypeScript

贡献者

README

⚡🔎 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! 💪

Integrations
Getting Started
- Cloud
- Self-Hosted

Made for help desk techies 👨‍💻

Troubleshoot Issues 🐛

fourth image

Or find internal issues fast ⚡️

second image

Integrations

: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. 😉

first image

Built by the community 💜

Made with contributors-img.

gerev