Docling
Docling is an open-source document processing toolkit developed by IBM Research. It is designed to prepare documents for use in artificial intelligence and machine learning workflows by converting various file formats into structured, machine-readable outputs. The toolkit supports multiple document types, including PDFs, Word documents, and other structured files, extracting content in ways that are optimized for downstream language model consumption.
The primary function of Docling is to bridge the gap between unstructured document data and AI systems. It handles the complex task of parsing, cleaning, and structuring diverse document layouts, ensuring that the extracted information retains its semantic integrity. This process allows developers to ingest raw documents directly into AI pipelines without manual preprocessing, thereby streamlining the creation of knowledge bases and retrieval-augmented generation (RAG) systems.
By providing a standardized interface for document ingestion, Docling enables consistent data formatting across different sources. This uniformity is critical for training models and ensuring accurate information retrieval. The toolkit is integrated into broader IBM AI infrastructure, supporting efficient scaling for enterprise-level document analysis and automation tasks.