Build retrieval-augmented AI applications using enterprise-ready RAG workflows
RAGFlow is an open-source Retrieval-Augmented Generation (RAG) platform that combines document retrieval, knowledge management, and AI agent capabilities. It helps developers and enterprises create AI applications that generate accurate responses from proprietary data sources. The platform includes document ingestion, context management, workflow orchestration, agent templates, and integrations with popular AI models. RAGFlow supports large-scale deployments and is designed to improve the quality and reliability of AI-generated outputs. Developers can use it to build chatbots, enterprise search systems, knowledge assistants, and AI-powered business applications while maintaining strong control over data and context.
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