Use RAGFlow as a retrieval and context layer for agent workflows

Build a supervised RAG context layer with RAGFlow so agents can index documents, retrieve grounded context, and answer with traceable source support.

Prerequisites

RAGFlow, Docker or supported self-hosted/cloud deployment, source document corpus

Installation

Use the upstream install or setup path that matches your environment:

• If you have not installed Docker on your local machine (Windows, Mac, or Linux), see Install Docker Engine.
• $ git clone https://github.com/infiniflow/ragflow.git
• $ docker compose -f docker-compose.yml up -d
• $ docker logs -f docker-ragflow-cpu-1

Requirements and caveats from upstream:

• <a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
• <img src="https://img.shields.io/docker/pulls/infiniflow/ragflow?label=Docker%20Pulls&color=0db7ed&logo=docker&logoColor=white&style=flat-square" alt="docker pull infiniflow/ragflow:v0.25.4">

• 🔧 Build a Docker image

• Source: https://github.com/infiniflow/ragflow

• Extracted from upstream docs: https://raw.githubusercontent.com/infiniflow/ragflow/HEAD/README.md

Documentation

• https://ragflow.io

Source

• Agent Skill Exchange