RAGFlow is an open-source RAG engine that combines retrieval-augmented generation with agent capabilities, aiming to build a context layer for LLMs. Teams building knowledge-base search over their own documents are the obvious fit. Engineers who build RAG pipelines for a living can request a Test Drive on it.