RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
RAGFlow is an open-source Retrieval-Augmented Generation engine that combines document retrieval, context management, and agent capabilities to help build AI applications. Developers use it to turn complex data into searchable, context-aware systems through workflows, datasets, and agent templates; the catalogue entries support working with RAGFlow.
These files are infiniflow/ragflow's own configuration. They tell Claude Code, Codex, GitHub Copilot and OpenCode how to work on this repository, so they are not mods to install elsewhere. Copy one as a starting point and replace the parts that are about this project.
.github/copilot-instructions.md A 156 tok AGENTS.md A 2,027 tok CLAUDE.md A 3 tok .agents/skills/go-naming/SKILL.md A 49 tok