Docling

Component Category

Document AI inference

Component Description

Docling is the document processing component used to parse documents into structured representations that can be consumed by downstream AI workflows.

Why It Is Used

It helps CoreAI turn raw documents into usable content for retrieval, knowledge workflows, and document intelligence features.

Learn More

• Docling Documentation
• Docling on GitHub

Developer Guidance

For application integrations on BullSequana AI, use the CoreAI API upload flow (/v1/files/upload) instead of calling Docling directly. This keeps integrations aligned with the platform contract and allows backend workflow orchestration and resource controls to evolve without breaking clients.

Interacts With

• CoreAI API for document ingestion and processing flows
• Milvus when parsed content is embedded and stored for retrieval
• MinIO for document and artifact storage
• LiteLLM and other CoreAI workflows where processed content is used downstream