dangolbeeker / gpt-search

boilercode

Find any conversation, doc, or internal page in seconds ⏲️⚡️
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Search focused on devs

Devs are the best early adopters, they adopt technology early and aid in spreading it to their non-technical peers. That's why gerev is focused on making a product dev's adore and love ❤️

Made for devs 👨‍💻

• For finding internal pages fast ⚡️

• Troubleshoot Issues 🐛

• For finding code snippets and code examples 🧑‍💻
  Coming Soon...

Integrations

• Slack
• Confluence
• Google Drive (Docs, .docx, .pptx)
• Bookstack
• RocketChat (in PR)
• Gitlab Issues (In PR)
• Notion (In Progress...)
• Microsoft Teams
• Sharepoint

Natural Langauge

Enables searching using natural language. such as "How to do X", "how to connect to Y", "Do we support Z"

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Getting Started

1. Install Nvidia for docker
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 -p 80:80 -v ~/.gerev/storage:/opt/storage gerev/gerev

CPU only (no GPU)

sudo docker run -p 80:80 -v ~/.gerev/storage:/opt/storage gerev/gerev

Run from source

Run the backend:

cd app
pip install -r requirements.txt
uvicorn main:app

Run the UI:

npm install
npm start

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• gerev is also popular with some big names. 😉