What is RAGFlow?
RAGFlow is an innovative open-source project designed to enhance how we interact with data and seek information. It stands for Retrieval-Augmented Generation, a cutting-edge approach that combines advanced language models with deep document understanding. This framework allows businesses of all sizes to streamline data processing, particularly for generating accurate question-and-answer responses. These responses are supported by reliable references drawn from complex and varied data formats.
Demo
Users interested in experiencing RAGFlow firsthand can access a demo available online. This demonstration provides a glimpse into the application’s capabilities, offering a practical understanding of how the tool performs in real-world scenarios.
Latest Updates
RAGFlow is consistently evolving, with recent updates including:
- Multi-round conversation optimization as of September 29, 2024.
- Introduction of a search mode for the knowledge base Q&A on September 13, 2024.
- A new medical consultant agent template added on September 9, 2024.
- Support for converting text to SQL statements, effective August 22, 2024.
- Adoption of GraphRAG, inspired by Microsoft's graphrag, to support mind mapping as of August 2, 2024.
Key Features
"Quality in, quality out"
- Focus on deep document understanding to extract knowledge from unstructured data, no matter how complex the format.
- Capable of finding critical information even within vast datasets.
Template-based Chunking
- Offers intelligent and explicable chunking processes with numerous templates to fit different needs.
Grounded Citations with Reduced Hallucinations
- Visual tools for checking text chunkings, allowing user intervention.
- Easy-to-access key citations that support fact-based answers.
Compatibility with Heterogeneous Data Sources
- Can handle various data types, including Word documents, slides, spreadsheets, text files, images, and even web pages.
Automated and Effortless RAG Workflow
- Tailored for both individual and business use, providing a seamless workflow.
- Flexible configuration with large language models and embedding models.
- Supports sophisticated search and re-ranking techniques.
- Comes with user-friendly APIs to integrate smoothly into existing business systems.
System Architecture
RAGFlow's architecture is illustrated with detailed diagrams, depicting its robust and scalable design. This effectual setup ensures RAGFlow can manage tasks efficiently within different environments and use cases.
Get Started
To get started with RAGFlow, users need a system with at least:
- 4-core CPU
- 16 GB RAM
- 50 GB of disk space
- Docker and Docker Compose installed
Once prerequisites are met, users can follow detailed steps to clone the repository, build Docker images, and launch the server. This setup process ensures users have a fully operational environment to start working with RAGFlow.
Configurations
RAGFlow offers extensive configuration options to adapt to various environments and requirements. Users can modify essential settings to meet their local development needs.
Build Docker Images
RAGFlow can be built into Docker images, either with or without embedding models. The slim image version, for instance, is about 1 GB and depends on external services, while the complete image is around 9 GB.
Launch Service from Source
For developers, RAGFlow supports easy launching from source code, making it straightforward for customization and further development.
Documentation
RAGFlow provides comprehensive documentation including quick start guides, user guides, references, and FAQs to support users in leveraging the system to its fullest potential.
Roadmap
RAGFlow maintains a clear roadmap, detailing future objectives and planned enhancements, ensuring continuous improvement and relevance.
Community
RAGFlow prides itself on an active community. It offers platforms like Discord, Twitter, and GitHub Discussions for community interactions, sharing insights, suggestions, and support.
Contributing
As an open-source initiative, RAGFlow thrives on contributions from developers worldwide. Those looking to contribute are encouraged to review the project’s Contribution Guidelines to engage effectively with the community.