Interface: IngestionConfig

Defined in: packages/agentos/src/memory/facade/types.ts:134

Controls how documents are split into chunks before being stored and indexed.

Properties

chunkOverlap?

optional chunkOverlap: number

Defined in: packages/agentos/src/memory/facade/types.ts:156

Overlap between consecutive chunks in tokens/characters. Prevents context loss at chunk boundaries.

Default

64

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chunkSize?

optional chunkSize: number

Defined in: packages/agentos/src/memory/facade/types.ts:149

Target token/character count for each chunk.

Default

512

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chunkStrategy?

optional chunkStrategy: "fixed" | "semantic" | "hierarchical" | "layout"

Defined in: packages/agentos/src/memory/facade/types.ts:143

Strategy for splitting a document into indexable chunks.

• 'fixed' – split at a fixed token/character count.
• 'semantic' – split at semantic boundaries (paragraphs, sections).
• 'hierarchical'– build a tree of coarse → fine chunks (good for Q&A).
• 'layout' – preserve the visual layout of the source (PDF columns etc.).

Default

'semantic'

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doclingEnabled?

optional doclingEnabled: boolean

Defined in: packages/agentos/src/memory/facade/types.ts:177

Whether to use the Docling library for high-fidelity PDF/DOCX parsing. When false, a simpler text-extraction path is used.

Default

false

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extractImages?

optional extractImages: boolean

Defined in: packages/agentos/src/memory/facade/types.ts:163

Whether to extract embedded images from documents (PDF, DOCX, etc.). Extracted images are stored as ExtractedImage objects.

Default

false

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ocrEnabled?

optional ocrEnabled: boolean

Defined in: packages/agentos/src/memory/facade/types.ts:170

Whether to run Optical Character Recognition on extracted images. Requires extractImages: true.

Default

false

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visionLlm?

optional visionLlm: string

Defined in: packages/agentos/src/memory/facade/types.ts:184

Vision-capable LLM model identifier used to caption extracted images. Only consulted when extractImages: true.

Example

'gpt-4o'