RAGFlow on CentOS Stream 9 offers a turnkey environment for developers and researchers looking to build Retrieval-Augmented Generation (RAG) applications on top of open-source and commercial LLMs. RAGFlow is a modular, production-ready framework for RAG pipelines that integrates document ingestion, vector databases, retrievers, and prompt orchestration—all in a single stack. This image allows users to bypass complex setup steps and get started immediately. Key Features: Pre-installed RAGFlow with all core components CentOS Stream 9 for stability and long-term support Supports integration with vector stores like FAISS or Weaviate Ideal for chatbot, document QA, and enterprise search scenarios Note: A README file is located in the root directory (/). Please read it carefully during initial setup—it includes installation details, environment configuration, default ports, and authentication settings.