https://www.solosoft.dev/tags/ragflow/Recent content in RAGFlow on SoloSoftHugoen-usFri, 01 May 2026 00:00:00 +0000https://www.solosoft.dev/post/ragflow-llm-2026/Fri, 01 May 2026 00:00:00 +0000https://www.solosoft.dev/post/ragflow-llm-2026/<p>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. <strong>RAGFlow</strong> takes a fundamentally different approach, combining deep document understanding with LLM-based generation for precise, citation-grounded answers.</p> <p>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 &ndash; recognizing headers, paragraphs, tables, charts, figures, and their hierarchical relationships before performing retrieval.</p>