Show HN: RAG-Enterprise – 100% local RAG system for enterprise documents (github.com)

A new open-source project, RAG-Enterprise, has been launched, offering a 100% local Retrieval-Augmented Generation (RAG) system specifically designed for enterprises that prioritize data privacy. This innovative solution allows businesses to maintain complete control over their data with a straightforward one-command setup that automates installation, requiring just 10-60 minutes based on connection speed. RAG-Enterprise integrates modern large language models (LLMs) like Qwen3 and Mistral 7B, and can support up to 10,000 documents across various formats, including PDF, DOCX, and TXT. The significance of RAG-Enterprise lies in its focus on local deployment, ensuring that no data leaves the business's infrastructure and thereby eliminating privacy concerns associated with cloud services. The system features multi-user authentication and robust role-based access control, making it suitable for industries such as healthcare and finance. Additionally, its built-in backup and restore capabilities support over 70 cloud providers, allowing for flexible and secure data management. This project not only empowers businesses to leverage the power of AI securely but also encourages community contributions through its AGPL-3.0 license, promoting a culture of open-source development within the AI/ML sector.