chonkie and chopdoc

These are competitors—both are document chunking libraries designed to prepare text for RAG pipelines, with Chonkie offering a mature, production-ready implementation while Chopdoc appears to be an experimental or early-stage alternative solving the same core problem.

chonkie
80
Verified
chopdoc
28
Experimental
Maintenance 22/25
Adoption 15/25
Maturity 25/25
Community 18/25
Maintenance 10/25
Adoption 2/25
Maturity 16/25
Community 0/25
Stars: 3,829
Forks: 256
Downloads:
Commits (30d): 82
Language: Python
License: MIT
Stars: 2
Forks:
Downloads:
Commits (30d): 0
Language: Go
License: MIT
No risk flags
No Package No Dependents

About chonkie

chonkie-inc/chonkie

🦛 CHONK docs with Chonkie ✨ — The lightweight ingestion library for fast, efficient and robust RAG pipelines

This is a lightweight tool for developers building Retrieval-Augmented Generation (RAG) applications. It takes various forms of text data, processes it by intelligently splitting it into smaller, meaningful parts (chunks), and then refines and embeds these chunks. The output is optimized text chunks ready to be stored in a vector database for efficient retrieval by large language models.

RAG development LLM application development text preprocessing vector database integration AI application engineering

About chopdoc

mirpo/chopdoc

A tool to split documents into chunks for RAG and LLM applications

Scores updated daily from GitHub, PyPI, and npm data. How scores work