RAGFlow

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RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.0
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What is RAGFlow?

RAGFlow is an open-source Retrieval-Augmented Generation (RAG) engine that leverages deep document understanding to provide accurate, grounded question-answering capabilities. It streamlines the RAG workflow for businesses of any scale, seamlessly integrating Large Language Models (LLMs) with well-founded citations from various complex data sources.

Key Features

🍭 "Quality in, quality out" - Deep document understanding-based knowledge extraction from unstructured data with complicated formats. 

🍱 Template-based chunking - Intelligent and explainable, with plenty of template options to choose from. 

🌱 Grounded citations with reduced hallucinations - Visualization of text chunking allows for human intervention, and provides quick access to key references and traceable citations. 

🍔 Compatibility with heterogeneous data sources - Supports Word, slides, Excel, text, images, scanned copies, structured data, web pages, and more. 

🛀 Automated and effortless RAG workflow - Streamlined RAG orchestration catered to both personal and large business needs, with configurable LLMs and embedding models.

Use Cases

💼 Enterprise Knowledge Management: RAGFlow can be integrated into a company's knowledge management system, allowing employees to quickly find relevant information and insights from a vast repository of internal and external data sources. 

🏫 Academic Research: Researchers can leverage RAGFlow to efficiently navigate through academic literature, extracting key findings and supporting evidence to bolster their research. 

🏥 Healthcare Diagnostics: Medical professionals can use RAGFlow to quickly access relevant patient data, medical literature, and clinical guidelines to inform accurate diagnoses and treatment plans.

Conclusion

RAGFlow is a powerful open-source tool that streamlines the Retrieval-Augmented Generation workflow, empowering businesses and individuals to unlock valuable insights from complex data sources. By combining deep document understanding with grounded citations, RAGFlow delivers truthful and explainable question-answering capabilities, helping users make informed decisions and drive innovation. Experience the efficiency of RAGFlow firsthand and discover how it can transform your data-driven workflows.


More information on RAGFlow

Launched
2024-02
Pricing Model
Free
Starting Price
Global Rank
194013
Country
Turkey
Month Visit
253.4K
Tech used

Top 5 Countries

48.97%
10.65%
5.4%
4.98%
4.9%
China United States Hong Kong Korea, Republic of India

Traffic Sources

85.08%
8.74%
4.31%
1.87%
Direct Referrals Search Social
Updated Date: 2024-05-07
RAGFlow was manually vetted by our editorial team and was first featured on September 4th 2024.
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