<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Document Understanding on SoloSoft</title><link>https://www.solosoft.dev/tags/document-understanding/</link><description>Recent content in Document Understanding on SoloSoft</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 01 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.solosoft.dev/tags/document-understanding/index.xml" rel="self" type="application/rss+xml"/><item><title>RAGFlow: Open-Source RAG Engine for Document Understanding</title><link>https://www.solosoft.dev/post/ragflow-llm-2026/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/post/ragflow-llm-2026/</guid><description>&lt;p&gt;Retrieval-Augmented Generation (RAG) has become the standard architecture for grounding LLM responses in factual data, but most RAG implementations have a fundamental weakness: they treat documents as undifferentiated text, shredding them into arbitrary chunks that lose all structural meaning. &lt;strong&gt;RAGFlow&lt;/strong&gt; takes a fundamentally different approach, combining deep document understanding with LLM-based generation for precise, citation-grounded answers.&lt;/p&gt;
&lt;p&gt;RAGFlow is developed by infiniflow and has rapidly gained adoption as a production-grade RAG engine. Its core innovation is the use of layout analysis and vision-language models to understand the actual structure of documents &amp;ndash; recognizing headers, paragraphs, tables, charts, figures, and their hierarchical relationships before performing retrieval.&lt;/p&gt;</description></item><item><title>Surya: Open-Source Multilingual OCR and Document Understanding</title><link>https://www.solosoft.dev/post/surya-ocr-2026/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/post/surya-ocr-2026/</guid><description>&lt;p&gt;Optical Character Recognition is one of the oldest applications of computer vision, but traditional OCR engines have struggled to keep pace with modern demands. Documents today are more diverse in layout, multilingual in content, and variable in quality than ever before. &lt;strong&gt;Surya&lt;/strong&gt; represents a modern approach to OCR, built on deep learning architectures that handle the complexity of real-world documents with accuracy that traditional engines cannot match.&lt;/p&gt;
&lt;p&gt;Developed by the datalab-to team (the same group behind Marker), Surya is designed as both a standalone OCR system and a component for larger document processing pipelines. It provides three core capabilities: text detection (finding where text is on a page), text recognition (reading what it says), and layout analysis (understanding the document structure). The unified architecture means that a single model handles text across dozens of scripts and languages.&lt;/p&gt;</description></item></channel></rss>