Caber DREAM: Deterministic Attribution and Control of AI Data Use
Project description
PyCaber
Caber DREAM Python Package
Caber DREAM dynamically enriches every chunk in your Retrieval‑Augmented Generation (RAG) datastore with trusted source attributed metadata so you always know what the data is, where it came from, who owns it, and how it may be used.
Installation
pip install pycaber
Usage
import pycaber
# Your code here
Development
To build the extension locally:
maturin develop --release
To generate Python stub files (for IDE support):
python3 generate_stubs.py
Features
- High-performance Rust-based implementation
- Type hints and IDE support through included stub files
- Cross-platform compatibility (Linux x86_64 and aarch64)
- Python 3.9+ support
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- Size: 2.1 MB
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