messkan/rag-chunk
A Python CLI to test, benchmark, and find the best RAG chunking strategy for your Markdown documents.
This tool helps developers working with Retrieval-Augmented Generation (RAG) by optimizing how text documents are broken down into smaller, searchable pieces. You input your Markdown documents, and the tool evaluates various chunking methods, showing you which one performs best in terms of retrieval accuracy. It's designed for machine learning engineers and AI practitioners building or fine-tuning RAG systems.
104 stars.
Use this if you need to determine the most effective way to chunk your Markdown knowledge base for better retrieval performance in a RAG application.
Not ideal if you are looking for a general-purpose text splitter for non-RAG use cases or don't need detailed performance metrics.
Stars
104
Forks
5
Language
Python
License
MIT
Category
Last pushed
Jan 18, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/messkan/rag-chunk"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
chonkie-inc/chonkie
🦛 CHONK docs with Chonkie ✨ — The lightweight ingestion library for fast, efficient and robust...
speedyk-005/chunklet-py
One library to split them all: Sentence, Code, Docs. Chunk smarter, not harder — built for LLMs,...
jchunk-io/jchunk
JChunk is a lightweight and flexible library designed to provide multiple strategies for text...
andreshere00/Splitter_MR
Chunk your data into markdown text blocks for your LLM applications
chonkie-inc/chonkiejs
🦛 CHONK your texts with Chonkie ✨ Type-friendly, light-weight, fast and super-simple chunking library