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Class: ChunkingEngine

Defined in: packages/agentos/src/memory/ingestion/ChunkingEngine.ts:214

Splits raw document text into an ordered array of DocumentChunk objects suitable for embedding and storage in a vector index.

Example​

const engine = new ChunkingEngine();
const chunks = await engine.chunk(content, { strategy: 'fixed', chunkSize: 512 });

Constructors​

Constructor​

new ChunkingEngine(): ChunkingEngine

Returns​

ChunkingEngine

Methods​

chunk()​

chunk(content, options): Promise<DocumentChunk[]>

Defined in: packages/agentos/src/memory/ingestion/ChunkingEngine.ts:229

Chunks the provided content string according to the given options.

All strategy implementations are async to accommodate the optional embedFn used by the semantic strategy.

Parameters​

content​

string

Full document text to split.

options​

ChunkOptions

Chunking strategy and tuning parameters.

Returns​

Promise<DocumentChunk[]>

Ordered array of DocumentChunk objects with sequential indices.