RAGFlow is an open-source solution based on an improved version of the RAG (Retrieval-Augmented Generation) engine, focusing on enhancing the richness and accuracy of document processing while being compatible with complex enterprise applications.
Product Features:
RAGFlow provides comprehensive document processing capabilities by intelligently recognizing document layouts, including reading information from tables and images.
RAGFlow offers a wide range of templates to meet the needs of various industries and roles, aiming to achieve efficient information retrieval.
RAGFlow allows users to directly visualize and modify their processing results, ensuring transparency and user control over the outcomes.
The core goal of RAGFlow is to address the main challenges faced by RAG systems—data quality and accessibility.
RAGFlow advocates for high-quality data input to improve output quality, shifting the mindset from "garbage in, garbage out" to "quality in, quality out."
RAGFlow provides functionality for explanations and citations, enabling users to verify results and trace the sources of information.
RAGFlow aims to optimize document processing capabilities, intending to establish a powerful document manager that serves both individuals and enterprises.
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