chonkie and chonkiejs

These are ecosystem siblings—Chonkie is the Python reference implementation for document chunking in RAG pipelines, while ChonkieJS is its TypeScript/JavaScript port enabling the same chunking approach across different runtime environments.

chonkie
80
Verified
chonkiejs
43
Emerging
Maintenance 22/25
Adoption 15/25
Maturity 25/25
Community 18/25
Maintenance 10/25
Adoption 10/25
Maturity 15/25
Community 8/25
Stars: 3,829
Forks: 256
Downloads:
Commits (30d): 82
Language: Python
License: MIT
Stars: 318
Forks: 9
Downloads:
Commits (30d): 0
Language: TypeScript
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 chonkiejs

chonkie-inc/chonkiejs

🦛 CHONK your texts with Chonkie ✨ Type-friendly, light-weight, fast and super-simple chunking library

Chonkie is for TypeScript developers who are building applications, especially those involving Retrieval Augmented Generation (RAG). It takes long pieces of text and breaks them down into smaller, manageable segments, known as "chunks." This makes text easier to process and use in AI applications.

TypeScript development web application development text processing RAG applications AI development

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