Build document-grounded agent context workflows with RAGFlow

Use RAGFlow to ingest complex documents, build governed RAG knowledge bases, and give agents higher-fidelity context for retrieval-augmented workflows.

Prerequisites

RAGFlow, Docker or self-hosted/cloud RAGFlow deployment, target LLM/provider credentials as needed

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