This article provides an in‑depth comparison of Microsoft’s MarkItDown and IBM‑backed Docling, evaluating their supported formats, output options, performance, community backing, and ideal use cases to help developers choose the right tool for AI‑driven document processing.
This article explains a practical approach to parsing PDFs containing text, tables, and images, using the open‑source Unstructured library and LlaVA model, then embedding each modality into a vector store with multi‑vector retrieval to enable accurate semantic search in private‑knowledge RAG pipelines, with optional LangChain integration.
The long‑standing Chinese Windows utility PDF Patcher, known for its extensive PDF editing capabilities, has been open‑sourced on GitHub, revealing its C# and C codebase, .NET Framework foundation, iText and MuPDF dependencies, and a unique “Conscience License” that adds moral obligations for users and developers.
