RAGFlow Tutorial 2026: Complete Beginner Guide

RAGFlow bundles parsing, chunking, embeddings into one package.

💡 What You Will Learn

RAGFlow bundles parsing, chunking, embeddings into one package.

📜 Table of Contents

• Key Features
• Docker Install
• Quick Start
• 1. Create KB
• 2. Upload
• 3. Model
• 4. Ask
• RAGFlow vs Others
• FAQ
• 10,000+ documents?
• Chinese docs?
• Related Articles

RAGFlow is an open source RAG engine by InfiniFlow with 85,221 stars. A complete RAG system with web UI.

Key Features

• Built-in parser for PDF, Word, Excel, PPT, images
• Layout-aware automatic chunking
• Web UI for admin and users
• Multi-model (Ollama, OpenAI, vLLM)
• Built-in Qdrant vector store
• REST API

Docker Install

git clone https://github.com/infiniflow/ragflow.git
cd ragflow/docker
docker compose -f docker-compose-CN.yml up -d

Access http://localhost:9380. Login: admin / RAGflow123.

Quick Start

1. Create KB

Automatic chunking for most docs.

2. Upload

Drag and drop. Preserves layout.

3. Model

Settings > Ollama + qwen2.5:7b.

4. Ask

Chat tab, select KB, get answers with citations.

RAGFlow vs Others

FAQ

10,000+ documents?

Yes, handles hundreds of thousands.

Chinese docs?

RAGFlow excels with Chinese-optimized parser.

Related Articles

• RAG Pipeline n8n
• Setup Guide