The first step of every RAG pipeline is turning messy documents into clean data. Docling does exactly that: it converts PDFs, Office files and images into structured, AI-ready formats, all with local processing. It is an alternative to Unstructured, AWS Textract and Azure Document Intelligence.
What is Docling?
With advanced PDF understanding, layout, reading order, tables, formulas and images, Docling exports to Markdown, HTML and lossless JSON, and integrates with LangChain and LlamaIndex for ingestion. It was born at IBM Research and runs locally, without sending data out.
Key features
- Understanding of layout, reading order, tables and formulas in PDFs
- Export to Markdown, HTML and lossless JSON
- Integration with LangChain and LlamaIndex for RAG
- Local processing with OCR, without sending data out
How Reche uses it
Ingestion quality defines answer quality. Reche treats the document-extraction step with the same care as the rest of the system, because in RAG, poorly read data is a poorly given answer, no matter how good the model is.