PurrfectKit is your all-in-one, dependency-smart, configuration-friendly toolkit that turns even the most advanced Retrieval-Augmented Generation (RAG) workflows into a smooth, beginner-friendly experience.
🧩 5 Cats Will Lead You To The Purrfect Way.
🐱 Suphalak – Seamlessly reads and loads content from files.
🐱 Malet – Splits content into high-quality, model-friendly chunks.
🐱 WichienMaat – Embeds chunks into powerful vector representations.
🐱 KhaoManee – Searches and retrieves the most relevant vectors.
🐱 Kornja – Generates final responses enriched by retrieved knowledge (Under Development).
NOTE: The Thai cat-themed naming isn’t just cute—it makes learning and remembering the RAG process surprisingly fun and intuitive.
Whether you're a sturdent, researcher, hobbyist, or production-level engineer, this toolkit gives you a clean, guided workflow that “just works”
PurrfectKit aims to be plug-and-play, but a few lightweight system tools are required.
# Install Python (if not already)
sudo apt update
sudo apt install -y python3 python3-pip
# Install Tesseract OCR
sudo apt install -y tesseract-ocr tesseract-ocr-tha
# Install FFmpeg
sudo apt install -y ffmpeg
# Install libmagic
sudo apt install -y libmagic1
# Install Homebrew if missing
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
# Install Python
brew install python
# Install Tesseract OCR
brew install tesseract
# Install FFmpeg
brew install ffmpeg
# Install libmagic
brew install libmagic
# Install Python
Download from the official website:
[https://www.python.org/downloads/](https://www.python.org/downloads/)
✔ Make sure to check “Add Python to **PATH**” during installation.
# Install Tesseract OCR
Download the Windows installer:
[https://github.com/UB-Mannheim/tesseract/wiki](https://github.com/UB-Mannheim/tesseract/wiki)
✔ Make sure to add the installation path to your **System PATH**
pip install purrfectkit
from purrfectmeow.meow.felis import DocTemplate, MetaFile
from purrfectmeow import Suphalak, Malet, WichienMaat, KhaoManee
file_path = 'test/test.pdf'
metadata = MetaFile.get_metadata(file_path)
with open(file_path, 'rb') as f:
content = Suphalak.reading(f, 'test.pdf')
chunks = Malet.chunking(content, chunk_method='token', chunk_size='500', chunk_overlap='25')
docs = DocTemplate.create_template(chunks, metadata)
embedding = WichienMaat.embedding(chunks)
query = WichienMaat.embedding("ทดสอบ")
KhaoManee.searching(query, embedding, docs, 2)PurrfectKit is released under the MIT License.