🧠
Model

chonkiejs

by Chonkie Inc gh-model--chonkie-inc--chonkiejs
Nexus Index
0.0 Top 18%
P: Popularity 0
F: Freshness 0
C: Completeness 0
U: Utility 0
Tech Context
Vital Performance
0 DL / 30D
0.0%

!Chonkie Logo _ðŸĶ› CHONK your texts in TypeScript with Chonkie!âœĻ The no-nonsense lightweight and efficient chunking library._ Installation â€Ē Usage â€Ē Chunkers â€Ē Acknowledgements â€Ē Citation We built while developing a TypeScript web app that needed fast, on-the-fly text chunking for RAG applications. After trying several existing libraries, we found them either too heavy or not flexible enough for our needs. is a port of the original library, but with some type-safety...

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Model Information Summary
Entity Passport
Registry ID gh-model--chonkie-inc--chonkiejs
Provider github
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Cite this model

Academic & Research Attribution

BibTeX
@misc{gh_model__chonkie_inc__chonkiejs,
  author = {Chonkie Inc},
  title = {chonkiejs Model},
  year = {2026},
  howpublished = {\url{https://github.com/chonkie-inc/chonkiejs}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
Chonkie Inc. (2026). chonkiejs [Model]. Free2AITools. https://github.com/chonkie-inc/chonkiejs

🔎Technical Deep Dive

Full Specifications [+]

Quick Commands

🐙 Git Clone
git clone https://github.com/chonkie-inc/chonkiejs

⚖ïļ Nexus Index V16.5

0.0
TOP 18% SYSTEM IMPACT
Popularity (P) 0
Freshness (F) 0
Completeness (C) 0
Utility (U) 0

💎 Index Insight

The Free2AITools Nexus Index for chonkiejs aggregates Popularity (P:0), Freshness (F:0), and Completeness (C:0). The Utility score (U:0) represents deployment readiness and ecosystem adoption.

Free2AITools Nexus Index

Verification Authority

Unbiased Data Node Refresh: VFS Live
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🚀 What's Next?

Technical Deep Dive

Chonkie Logo

ðŸĶ› chonkiejs âœĻ

npm version npm downloads npm license npm bundle size Discord Github Stars

ðŸĶ› CHONK your texts in TypeScript with Chonkie!âœĻ The no-nonsense lightweight and efficient chunking library.

Installation â€Ē Usage â€Ē Chunkers â€Ē Acknowledgements â€Ē Citation

We built chonkiejs while developing a TypeScript web app that needed fast, on-the-fly text chunking for RAG applications. After trying several existing libraries, we found them either too heavy or not flexible enough for our needs. chonkiejs is a port of the original chonkie library, but with some type-safety and a few extra features to make it more useful for TypeScript developers!

🚀 Feature-rich: All the CHONKs you'd ever need
âœĻ Easy to use: Install, Import, CHONK
⚡ Fast: CHONK at the max speed of TypeScript! tssssooooooom
ðŸŠķ Light-weight: No bloat, just CHONK
ðŸĶ› Cute CHONK mascot: psst it's a pygmy hippo btw
âĪïļ Moto Moto's favorite TypeScript library

Chonkie is a chunking library that "just works" âœĻ

[!NOTE] This library is not a binding but a port of the original chonkie library written in Python, to TypeScript. This library is still under active development and not at feature parity with the original chonkie library yet. Please bear with us! ðŸŦ‚

ðŸ“Ķ Installation

bash
npm install @chonkiejs/core

📚 Usage

typescript
import { RecursiveChunker } from '@chonkiejs/core';

// Create a chunker
const chunker = await RecursiveChunker.create({
  chunkSize: 512
});

// Chunk your text
const chunks = await chunker.chunk('Your text here...');

// Use the chunks
for (const chunk of chunks) {
  console.log(chunk.text);
  console.log(`Tokens: ${chunk.tokenCount}`);
}

ðŸ“Ķ Packages

Package Description Dependencies
@chonkiejs/core Local chunking (Recursive, Token) with character-based tokenization Zero
@chonkiejs/cloud Cloud-based chunkers (Semantic, Neural, Code, etc.) via api.chonkie.ai @chonkiejs/core
@chonkiejs/token HuggingFace tokenizer support for core chunkers @huggingface/transformers

Contributing

Want to help grow Chonkie? Check out CONTRIBUTING.md to get started! Whether you're fixing bugs, adding features, improving docs, or simply leaving a ⭐ïļ on the repo, every contribution helps make Chonkie a better CHONK for everyone.

Remember: No contribution is too small for this tiny hippo!

Acknowledgements

Chonkie would like to CHONK its way through a special thanks to all the users and contributors who have helped make this library what it is today! Your feedback, issue reports, and improvements have helped make Chonkie the CHONKIEST it can be.

And of course, special thanks to Moto Moto for endorsing Chonkie with his famous quote:

"I like them big, I like them chonkie in TypeScript" ~ Moto Moto... definitely did not say this

Citation

If you use Chonkie in your research, please cite it as follows:

bibtex
@software{chonkie2025,
  author = {Bhavnick Minhas and Shreyash Nigam},
  title = {Chonkie: A no-nonsense fast, lightweight, and efficient text chunking library},
  year = {2025},
  publisher = {GitHub},
  howpublished = {\url{https://github.com/chonkie-inc/chonkie}},
}

🚀 Quick Start

bash
npm install @chonkiejs/core

📝 Limitations & Considerations

  • â€Ē Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • â€Ē VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • â€Ē FNI scores are relative rankings and may change as new models are added.
  • â€Ē Source: Unknown
🔄 Daily sync (03:00 UTC)

AI Summary: Based on GitHub metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseâ„đïļ Verify with original source

ðŸ›Ąïļ Model Transparency Report

Verified data manifest for traceability and transparency.

100% Data Disclosure Active

🆔 Identity & Source

id
gh-model--chonkie-inc--chonkiejs
source
github
author
Chonkie Inc
tags
typescriptaisplitting-algorithmschunkerragretrieval-systemschunking-algorithmtext-splitterllmschonkiesemantic-chunker

⚙ïļ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag
feature-extraction

📊 Engagement & Metrics

likes
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downloads
0

Free2AITools Constitutional Data Pipeline: Curated disclosure mode active. (V15.x Standard)