Documentation Index
Fetch the complete documentation index at: https://docs.getpaperjet.com/llms.txt
Use this file to discover all available pages before exploring further.
PaperJet can run on any environment that supports Docker.
Setting up your own PaperJet instance is a very simple process.
Deployment
Deploy PaperJet onto any VPS
Configuration
Create an admin user and add a model
Run a sample workflow
Test it out to make sure everything works
Hardware requirements
We recommend a minimum of 2 vCPU and 4gb of RAM.
Both x86 and ARM based systems are supported.
Docker compose
Docker compose is the easiest way to set up PaperJet on any environment.
One-liner setup
Run these commands to deploy PaperJet instantly:
curl -o docker-compose.yml https://raw.githubusercontent.com/MLNativeAI/paperjet/main/apps/docs/deployment/docker-compose.yml
docker compose up -d
Configuration
Coming soon. The docker-compose is pre-configured to just start out of the box
Model providers
vLLM
VLLM is the recommended platform for running AI models.
LM Studio
Currently not supported due to a bug with structured outputs