Most RAG systems don’t understand sophisticated documents — they shred them

Standard RAG pipelines treat documents as flat strings of text. They use "fixed-size chunking" (cutting a document every 500 characters). This works for prose, but it destroys the logic of technical ...
Microsoft

Turning threat reports into detection insights with AI

Security teams often spend days manually turning long incident reports and threat writeups into actionable detections by ...
Analytics Insight

Best AI Tools to Summarize PDFs Quickly for Faster Reading and Better Understanding

Overview PDF files are an integral part of professional and academic work.Long documents make it difficult to research and ...
IEEE

Advanced Text Summarization Model Incorporating NLP Techniques and Feature-Based Scoring

Abstract: The most common traditional approaches to summarizing large texts while retaining their importance are TF-IDF and TextRank. However, these methods often fail to retain narrative coherence ...
IEEE

Supervised Learning for Enhanced Text Summarization in NLP Systems

Abstract: This research develops a supervised learning framework for improved text summarization in Natural Language Processing (NLP) systems, including the aspects of text relevance, coherence and ...