Use Ragflow As A Retrieval And Context Layer For Agent Workflows

---
name: "Use RAGFlow as a retrieval and context layer for agent workflows"
slug: "use-ragflow-as-a-retrieval-and-context-layer-for-agent-workflows"
description: "Build a supervised RAG context layer with RAGFlow so agents can index documents, retrieve grounded context, and answer with traceable source support."
github_stars: 79794
verification: "security_reviewed"
source: "https://github.com/infiniflow/ragflow"
author: "InfinityFlow"
publisher_type: "open_source_project"
category: "Data Extraction & Transformation"
framework: "Multi-Framework"
tool_ecosystem:
  github_repo: "infiniflow/ragflow"
  github_stars: 79794
---

# 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](https://docs.docker.com/engine/install/).
- $ 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](#-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](https://agentskillexchange.com/skills/use-ragflow-as-a-retrieval-and-context-layer-for-agent-workflows/)