RAGflow vs Dify vs Firecrawl: I Tested All Three So You Don't Have To
RAGflow vs Dify vs Firecrawl: I Tested All Three So You Don't Have To
Updated 2026-08-05. Star counts verified against live GitHub data.
TL;DR: RAGflow (86k★) if your data lives in documents and you want to chat with them. Dify (149k★) if you're building an actual LLM app with a UI. Firecrawl (154k★) if your data lives on websites and you need clean markdown at scale. They compose well — you can absolutely run all three together.
The 30-second version
| Tool | Stars | License | Primary Strength | Best Scenario |
|------|-------|---------|-----------------|---------------|
| RAGflow | ★86,000 | Apache-2.0 | Document RAG engine | Chat over your PDFs/docs |
| Dify | ★149,786 | Other | LLM app platform | Visual agent/workflow apps |
| Firecrawl | ★154,990 | AGPL-3.0 | Web-to-markdown scraping | RAG over websites |
What each one actually does
RAGflow — the document specialist. It ingests PDFs, Word docs, markdown, chunks them properly, and gives you a chat interface that answers strictly from your files. Its document parser handles messy layouts — tables, columns, formulas — better than anything else I've tried, and honestly it's not close. That's its whole moat: if your content is a pile of PDFs, RAGflow is the least painful path to a working knowledge base.
Dify — the app builder. Visual canvas, drag-and-drop workflows, connect any model provider, add RAG as one node among many, publish as an API or chat widget. If your deliverable is an application — a product, a bot with a front-end — Dify gets you from idea to deployed app fastest. RAG is a feature here, not the whole point.
Firecrawl — the data harvester. Give it a URL, get clean structured markdown: no ads, no boilerplate, no broken HTML. Honestly, the first time I saw it strip a 200KB mess of a page down to 8KB of clean text, I laughed out loud. Handles JavaScript-rendered sites, pagination, bulk sitemap crawling. It's the "feeding" half of a RAG stack — Firecrawl gathers the web, RAGflow answers over it.
Side by side
| Criterion | RAGflow | Dify | Firecrawl |
|-----------|---------|------|-----------|
| Core job | Answer from your documents | Build LLM apps visually | Scrape web → clean markdown |
| Document parsing | ★★★★★ (best-in-class) | ★★★ (via plugins) | ★★ (web pages only) |
| Visual workflow builder | ★★★ | ★★★★★ | ★★ |
| Web scraping | ★★ | ★★★ (via tools) | ★★★★★ |
| Self-hosted | Yes | Yes | Yes |
| Best for | Knowledge base / support bots | Products / SaaS apps | RAG data pipelines |
Decision flow
Your documents are the source of truth → RAGflow. Upload the PDFs, get a chat that cites your pages. Support knowledge bases, legal/HR document lookup, internal research — this is the one.
You're building a product or an agent app → Dify. The visual canvas turns prompts, models and tools into a working API in an afternoon. RAG is one node among many, not the whole architecture.
Your content lives on websites → Firecrawl, feeding a RAG stack. Crawl 10,000 pages into markdown overnight, then index with RAGflow or any vector DB.
You need all three → they compose beautifully. Firecrawl harvests the web, RAGflow indexes and answers, Dify wraps it into a user-facing app. This is honestly how most serious deployments end up.
The parts nobody tells you
Firecrawl's license is AGPL-3.0. If you serve it as a SaaS, your modifications must be open-sourced. Not a dealbreaker for internal use or self-hosting — but check with whoever owns your legal before building a product on it.
Dify's license field says "Other" — same advice as always: read the actual license text before commercial use. The star count doesn't tell you this stuff.
RAGflow needs Docker basics and a machine with reasonable RAM. Dify is the most beginner-friendly. Firecrawl has a hosted API plus SDKs for every major language if you don't want to self-host.
FAQ
Can I run all three for free? Yes — all open source, all self-hostable. 8GB+ RAM for small deployments, plus an LLM API key or a local model.
Which has the most active community? By stars: Firecrawl (154k) > Dify (149k) > RAGflow (86k). All three ship monthly and have active Discords.
Do I need to know how to code? Dify's visual builder is the most accessible. RAGflow needs basic Docker. Firecrawl has SDKs in every major language plus a hosted option.
Bottom line
If I had to pick one to start with today: RAGflow, because a working document Q&A is the highest-value, lowest-friction first project — and it teaches you the RAG concepts the other two build on. Then add Firecrawl when you outgrow your local files, Dify when you want to productize it.
All three are available as ready-to-run bundles on AI Tool Mart with AI-assisted install guides — no GitHub hunting, no environment setup. Am I wrong about any of this? Tell me in the comments.