Unstructured is an enterprise-grade data orchestration engine designed to transform raw, unstructured files into structured, machine-readable formats. It functions as a comprehensive platform for document ingestion, partitioning, and enrichment, specifically engineered to prepare complex data for retrieval-augmented generation and agentic AI workflows.
The platform distinguishes itself through its sophisticated document processing strategies, which combine rule-based extraction with vision-language models to handle diverse file layouts, tables, and images. It provides a modular architecture that supports directed acyclic graph orchestration, allowing users to chain complex transformation pipelines while maintaining metadata, spatial context, and hierarchical relationships across extracted elements.
The system covers a broad capability surface, including extensive connectivity to cloud storage, databases, and collaboration platforms, alongside robust data export options for vector databases and search indices. It enforces enterprise security standards through isolated multi-tenant infrastructure, role-based access control, and private network connectivity, ensuring that sensitive data remains secure throughout the entire transformation lifecycle.
Operational visibility is maintained through integrated job monitoring, event-driven notification systems, and audit logging. The platform is designed for deployment within private cloud environments, supporting scalable, asynchronous processing of high-volume document batches.
