paro

(★ 104)

An AI-native multi-model database unifying SQL, vector, full-text, graph, and sandboxed Python — for transactional, analytical, and agent workloads.

Showing a partial file list — download the zip above to see everything.

  • .gitignore
  • Cargo.lock
  • Cargo.toml
  • LICENSE
  • Makefile
  • README.md

# Installation Guide

1. Get the code
git clone https://github.com/zunor/paro

Downloads the entire project code from GitHub to your computer.

cd paro

Moves into the project folder you just downloaded.

2. Python

Easy Recommended
Prerequisites
  • Git Needed to download the project code from GitHub.
  • Python 3 On Windows, be sure to check 'Add Python to PATH' during installation.
pip install -r benchmark/requirements.txt

Installs the Python libraries listed in requirements.txt (or similar).

python <실행할 파일명>.py # README에서 정확한 실행 파일명을 확인하세요

Runs the Python script (or module).

If it runs without errors and prints output in the terminal, it worked.

3. Rust

Medium
Prerequisites
  • Git Needed to download the project code from GitHub.
  • Rust (rustup) Installing via rustup also installs cargo.
cargo build --release

Compiles the Rust project.

cargo run

Builds and then immediately runs the program.

If cargo build finishes without errors, it worked. The executable is created under target/.

4. Make

Medium
Prerequisites
  • Git Needed to download the project code from GitHub.
  • Make Usually pre-installed on Linux/macOS. On Windows, install separately (e.g. via MSYS2 or WSL).
make run

Compiles the code based on the generated build configuration to produce an executable.

If it finishes without errors, it worked. Try running the generated executable directly.

Pulled directly from this repo's README.

// repository documentation