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n8n-nodes-chonkie

v0.1.0

Published

n8n community node for chunking text using Chonkie for RAG and NLP pipelines

Readme

n8n-nodes-chonkie

Chonkie

This is an n8n community node that lets you chunk text using Chonkie for RAG and NLP pipelines.

n8n is a fair-code licensed workflow automation platform.

Installation
Operations
Compatibility
Usage
Resources

Installation

Follow the installation guide in the n8n community nodes documentation.

Or install directly:

npm install n8n-nodes-chonkie

Operations

The Chonkie node splits text into chunks using one of three strategies:

| Chunker | Description | |---|---| | Token Chunker | Splits text by token count with configurable overlap | | Recursive Chunker | Hierarchy-aware splitting across paragraphs, sentences, and words | | Fast Chunker | Ultra-fast WASM-based chunking with byte-level precision |

Parameters

| Parameter | Chunkers | Description | |---|---|---| | Text to Chunk | All | The input text to split | | Chunker Type | All | Strategy to use (token, recursive, fast) | | Chunk Size | All | Maximum size of each chunk (tokens/characters) | | Chunk Overlap | Token | Number of units to overlap between consecutive chunks | | Delimiters | Fast | Characters used as split boundaries (e.g. \n.?) | | Min Characters Per Chunk | Recursive | Minimum characters before merging a split |

Output

Each chunk is emitted as a separate item with the following fields:

{
  "text": "...",
  "tokenCount": 42,
  "startIndex": 0,
  "endIndex": 128
}

Compatibility

Compatible with n8n v1.60.0 or later.

Usage

  1. Add the Chonkie node to your workflow.
  2. Connect a node that produces text (e.g. HTTP Request, Read File).
  3. Set Text to Chunk to the field containing your text.
  4. Choose a Chunker Type and configure chunk size.
  5. Each resulting chunk flows to the next node as its own item — ready for embeddings, vector stores, or further processing.

The node also supports use as a tool in AI agent workflows (usableAsTool: true).

Resources