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Ai MlAlternative to DifyAlternative to FlowiseAlternative to AnythingLLM

RAGFlow

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior

View on GitHub Visit website
LicenseApache-2.0
GitHub stars89.1k
Last commit1 weeks ago
Tags6 topics
DeepdocOcrVector DatabaseRagPythonDocument Parsing
Overview

Why consider RAGFlow?

RAGFlow is an open-source software project with 89013 stars on GitHub. It provides production-ready capabilities for software development teams.

Guided learning

Learn RAGFlow by building

Practical setup notes, real use cases, and copy-ready examples in one focused guide.

1 min read 3 sections
In this guide3 sections

Overview of RAGFlow

RAGFlow stands as a key open-source utility in modern computing workflows. As stated in the repository guide at https://raw.githubusercontent.com/infiniflow/ragflow/main/README.md, - 💡 What is RAGFlow?. It offers adaptable integrations across technical environments.

Installation and Integration

Developers can quickly evaluate and run RAGFlow following official guidelines. As documented in the repository readme at https://raw.githubusercontent.com/infiniflow/ragflow/main/README.md, execute git clone https://github.com/infiniflow/ragflow.git:

bash
1git clone https://github.com/infiniflow/ragflow.git

License Information

The RAGFlow codebase is maintained under permissive open licensing. According to the official license file at https://raw.githubusercontent.com/infiniflow/ragflow/main/LICENSE, usage terms correspond to Apache License. Developers may inspect, adapt, and build upon the source code.

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RAGFlow FAQs

RAGFlow is listed as a Ai Ml tool on TiloBox. Review the overview, features, and official documentation on this page to decide whether it solves your specific workflow.

Start with the project's GitHub repository and official website for supported installation and deployment instructions. Test the setup with representative data or a small project before rolling it out more widely.

RAGFlow is listed under the Apache-2.0 license. Read the complete license text and the project's notices before using, modifying, or distributing the software.

Production readiness depends on your requirements. Review maintenance activity, security practices, documentation, backup and upgrade procedures, and compatibility with your stack; then validate it in a non-production environment.

RAGFlow is listed as an alternative to Dify. Compare the core workflow, deployment model, integrations, and licensing against your must-have requirements before switching.