ragflow logo
ragflow
★ 92.7k
vs
claude-code-skills logo
claude-code-skills
★ 583

ragflow vs claude-code-skills

ragflow: RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that integrates RAG with Agent capabilities. It provides a superior context layer for LLMs and offers a streamlined RAG workflow adaptable to enterprises of any scale.; claude-code-skills: A plugin suite for Claude Code that provides production-ready skills for automating the full Agile development lifecycle. It includes 128 skills across 7 plugins covering project bootstrap, documentation, scope decomposition, task execution, quality gates, code audits, optimization, and community engagement. The suite works standalone or as a complete Agile pipeline with optional multi-model AI review using Codex and Gemini agents.

01

TL;DR

ragflow logo
ragflowRAG / Knowledge Base · ★ 92.7k
When to choose:
  • Your documents have complex layouts (PDFs, scanned files, tables, slides) and you need layout analysis, OCR, and traceable citations.
  • You want an Apache-2.0 all-in-one RAG platform where you can inspect and hand-tune template-based chunks in a web UI.
When to skip:
  • Your server has less than 4 CPU cores and 16 GB RAM; RAGFlow's multi-service stack is heavy.
  • You want an autonomous web research agent that writes 2,000-word reports from live search rather than indexing a local document corpus; GPT Researcher fits better.
claude-code-skills logo
claude-code-skillsRAG / Knowledge Base · ★ 583

Automate the full Agile workflow from scope decomposition to quality gates

02

Side-by-Side Comparison

Field
ragflow logoragflow
claude-code-skills logoclaude-code-skills
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 92.7k
★ 583
License
Apache-2.0
MIT
Install Command
docker compose -f docker-compose.yml up -d
/plugin add levnikolaevich/claude-code-skills
Updated
1d ago
5d ago
Open Source
Yes
Yes
Tags
RAG, AI Agent, LLM
agile-workflows, ai-agents, anthropic
03

Features

ragflow logoragflow
01Deep document understanding for knowledge extraction from unstructured data.
02Intelligent and template-based chunking with explainable options.
03Grounded citations with reduced hallucinations and traceable references.
04Compatibility with heterogeneous data sources including documents, images, and web pages.
05Automated and effortless RAG workflow orchestration with configurable models and fused re-ranking.
claude-code-skills logoclaude-code-skills
017 plugins with 128 skills covering the full development lifecycle
02One-command installation via /plugin add
03Multi-model AI review with Codex, Gemini, and Claude fallback
04Orchestrator-worker architecture with 4-level hierarchy for efficient context
05Optional MCP servers for hash-verified editing, code graph, and SSH
04

Use Cases

ragflow logoragflow
↳Building high-fidelity, production-ready AI systems with complex data.
↳Developing enterprise-scale knowledge base and intelligent Q&A chatbots.
↳Facilitating intelligent document processing and advanced information retrieval.
claude-code-skills logoclaude-code-skills
↳Automate the full Agile workflow from scope decomposition to quality gates
↳Audit existing codebases for security, performance, and architecture issues
↳Bootstrap new projects or transform existing ones to Clean Architecture
05

Best For

ragflow logoragflow
Most PopularEssentialTrending
claude-code-skills logoclaude-code-skills
—
FAQ

FAQ

What is the difference between ragflow and claude-code-skills?
Both ragflow and claude-code-skills are in the RAG / Knowledge Base category. ragflow has 92.7k stars, while claude-code-skills has 583 stars.
Which is better, ragflow or claude-code-skills?
The best choice depends on your use case. Choose ragflow if Building high-fidelity, production-ready AI systems with complex data., and claude-code-skills if Automate the full Agile workflow from scope decomposition to quality gates.
Is ragflow free or open source?
Yes, ragflow is open source on GitHub (Apache-2.0).
Is claude-code-skills free or open source?
Yes, claude-code-skills is open source on GitHub (MIT).
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