infiniflow/ragflow

RAGFlow is an agent-native database: a Retrieval-Augmented Generation (RAG) engine that grew into context infrastructure.

About the project

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.

Latest release v1.0.0-rc3 · 30 Oct 2026

3 files for Claude Code, Codex, GitHub Copilot and OpenCode: go-naming, ragflow copilot-instructions.md, ragflow AGENTS.md — 4,062 tokens loaded in every session.

93,628Stars on the repository
3Files it configures its agents with
4,062Tokens loaded in every session
4Agents configured

Instructions

Skills

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.