Researchers found a LinkedIn phishing campaign delivering a remote access trojan via DLL sideloading, WinRAR SFX files, and ...

A high-performance Python library for extracting structured content from PDF documents with layout-aware text extraction. pdf_2_json_extractor preserves document structure including headings (H1-H6) ...

Abstract: Integrating local domain knowledge bases into domain-specific Question Answering (QA) systems enhances their professionalism and effectiveness. Recently, the Graph-based Retrieval-Augmented ...

So, you’re looking to get better at coding with Python, and maybe you’ve heard about LeetCode. It’s a pretty popular place to practice coding problems, especially if you’re aiming for tech jobs.

Thinking about learning Python? It’s a pretty popular language these days, and for good reason. It’s not super complicated, which is nice if you’re just starting out. We’ve put together a guide that ...

Introduction: Automating the extraction of information from Portable Document Format (PDF) documents represents a major advancement in information extraction, with applications in various domains such ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Discover the latest methods in PDF data extraction, focusing on OCR and Vision Language Models, as discussed by NVIDIA. Learn about their performance and practical applications in retrieval systems.