RAGFlow vs Dify
Both are alternatives to Vectara. Here's how they stack up — verified facts, no spin.
Also searched as Dify vs RAGFlow — same comparison, one verdict.
RAGFlow
Deep document understanding — the one for messy PDFs and real-world files.
RAGFlow's differentiator is what happens before retrieval. Most RAG failures are not retrieval failures at all — they are parsing failures, where a table became word soup or a two-column layout interleaved into nonsense during ingestion. RAGFlow puts layout-aware document understanding at the front of the pipeline, handling tables, figures and multi-column layouts, and it shows you the chunks so you can see what the model will actually be given. Apache-2.0, ships with a web UI.
Dify
A self-hostable AI application platform — the closest product-shaped replacement.
Dify is a full LLM application platform you can run yourself: visual workflow builder, RAG pipeline, agent tooling, prompt management and observability behind a web UI. For a team replacing a managed product rather than building from parts, it is the least disruptive landing spot here. One important caveat, and we would rather state it than let you find it in a licence review: Dify ships under Apache-2.0 with additional conditions — notably restrictions around multi-tenant hosting and removing branding — so it is not open source in the unqualified sense the others here are.
Side by side
| RAGFlow | Dify | |
|---|---|---|
| Sovereignty Score | 91 | 74 |
| Open source | Yes | No |
| Self-hostable | Yes | Yes |
| Local-first | Yes | Yes |
| License | Apache-2.0 | Apache-2.0 with additional conditions |
| Pricing | Free to self-host, Apache-2.0. A managed cloud tier is offered separately. | Free to self-host under its modified licence; paid cloud tiers available. |
RAGFlow edges it on the Sovereignty Score, but the right pick depends on the trade-offs below.
RAGFlow
Strengths
- +Best-in-group parsing of tables, figures and complex layouts
- +Visible chunks — you can see and correct what was extracted
- +Full application with a UI, not just a library
- +Apache-2.0
Trade-offs
- −Heavier to deploy than a library (Docker Compose stack)
- −Opinionated pipeline — less swappable than LlamaIndex
- −Document parsing is compute-hungry on large corpora
Dify
Strengths
- +Complete product with a UI — smallest change from a managed platform
- +Visual workflow builder covers RAG, agents and prompt management
- +Self-hostable with Docker Compose
- +Active development and a large user base
Trade-offs
- −Licence carries additional conditions — not unqualified open source
- −Multi-tenant SaaS use is restricted; read the terms before building on it
- −Platform shape means less control than a framework
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Facts verified 2026-08-11. Licenses and pricing change — spotted something out of date? That's a correction we want.