Quick Start Guide#
This guide will help you get started with MetaBeeAI quickly.
Installation#
MetaBeeAI can be installed using pip. Open your terminal and run:
pip install metabeeai
For further options, including development installation, please refer to the Installation Guide
Configuration#
MetaBeeAI uses a flexible configuration system. Before running commands, set up your configuration:
Copy the example config:
cp config.example.yaml config.yaml
Add your API keys (required for most operations):
# Set as environment variables export OPENAI_API_KEY=sk-your-key-here export LANDING_AI_API_KEY=your-landing-key
Or add them to
config.yaml(but don’t commit this file!):openai_api_key: "sk-your-key-here" landing_api_key: "your-landing-key"
Customize paths (optional):
data_dir: ./data papers_dir: ./data/papers log_level: INFO
For detailed configuration options and hierarchy, see the Configuration Guide.
Basic Usage#
Prepare Your PDFs#
Organize papers in data/papers/:
data/papers/
├── 4YD2Y4J8/
│ └── 4YD2Y4J8_main.pdf
├── 76DQP2DC/
│ └── 76DQP2DC_main.pdf
└── ...
Each paper should be in its own folder with a unique alphanumeric ID.
Run the Pipeline#
The full pipeline can be ran, using CLI commands:
metabeeai process-pdfs
For a detailed breakdown of the usage and options, please refer to the User Guide.
For the full API reference, please refer to the API Reference.