createDocumentChunkerTool()
The createDocumentChunkerTool() function creates a tool for splitting documents into smaller chunks for efficient processing and retrieval. It supports different chunking strategies and configurable parameters.
Basic usageDirect link to Basic usage
import { createDocumentChunkerTool, MDocument } from '@mastra/rag'
const document = new MDocument({
text: 'Your document content here...',
metadata: { source: 'user-manual' },
})
const chunker = createDocumentChunkerTool({
doc: document,
params: {
strategy: 'recursive',
size: 512,
overlap: 50,
separator: '\n',
},
})
const { chunks } = await chunker.execute()
ParametersDirect link to Parameters
doc:
MDocument
The document to be chunked
params?:
ChunkParams
= Default chunking parameters
Configuration parameters for chunking
ChunkParamsDirect link to chunkparams
strategy?:
'recursive'
= 'recursive'
The chunking strategy to use
size?:
number
= 512
Target size of each chunk in tokens/characters
overlap?:
number
= 50
Number of overlapping tokens/characters between chunks
separator?:
string
= '\n'
Character(s) to use as chunk separator
ReturnsDirect link to Returns
chunks:
DocumentChunk[]
Array of document chunks with their content and metadata
Example with custom parametersDirect link to Example with custom parameters
const technicalDoc = new MDocument({
text: longDocumentContent,
metadata: {
type: 'technical',
version: '1.0',
},
})
const chunker = createDocumentChunkerTool({
doc: technicalDoc,
params: {
strategy: 'recursive',
size: 1024, // Larger chunks
overlap: 100, // More overlap
separator: '\n\n', // Split on double newlines
},
})
const { chunks } = await chunker.execute()
// Process the chunks
chunks.forEach((chunk, index) => {
console.log(`Chunk ${index + 1} length: ${chunk.content.length}`)
})
Tool detailsDirect link to Tool details
The chunker is created as a Mastra tool with the following properties:
- Tool ID:
Document Chunker {strategy} {size} - Description:
Chunks document using {strategy} strategy with size {size} and {overlap} overlap - Input Schema: Empty object (no additional inputs required)
- Output Schema: Object containing the chunks array