head to head · open source

ragflow vs DB-GPT

ragflow has 93,460 GitHub stars, 11,215 forks, 1,525 open issues and last shipped yesterday. DB-GPT has 20,251 stars, 3,001 forks, 439 open issues and last shipped 2 days ago. ragflow leads on adoption by 362% (93,460 vs 20,251 stars). ragflow is written in Go under Apache-2.0; DB-GPT is written in Python under MIT. ragflow has attracted 12% as many forks as stars, DB-GPT 15%. ragflow was the more recently maintained of the two, and both are self-hostable with no licence fee.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

ragflow ★ 93K DB-GPT ★ 20K category AI & Machine Learning

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Side by side

ragflow DB-GPT
GitHub stars ★ 93K ★ 20K
License Apache-2.0 MIT
Written in Go Python
Last push 2026-11-04 2026-11-03
Forks ⑂ 11K ⑂ 3.0K
Self-hosting Yes Yes
Data ownership Your server Your server

pick ragflow if

  • You weight community size — 93K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches Go
  • You value the larger contributor base for long-term maintenance

full ragflow profile →

pick DB-GPT if

  • You want the DB-GPT feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches Python
  • You evaluated both and DB-GPT fits your workflow better

full DB-GPT profile →

About ragflow

Cloud Documentation Roadmap Discord 📕 Table of Contents 💡 What is RAGFlow? 🎮 Get Started 🔥 Latest Updates 🌟 Key Features 🔎 System Architecture 🎬 Self Hosting 🔧 Configurations 🔧 Build a Docker Image 🔨 Launch Service from Source for Development 📚 Documentation 📜 Roadmap 🏄 Community 🙌 Contributing 💡 What is RAGFlow? RAGFlow is a leading open source Retrieval Augmented Generation (RAG) engine that fuses cutting edge RAG with Agent capabilities to create a superior context layer for LLMs. It offers a streamlined RAG workflow adaptable to enterprises of any scale. Powered by a converged context engine…

read the full ragflow overview →

About DB-GPT

DB GPT: Open Source Agentic AI Data Assistant Documents Contact Us Community Paper An open source AI data assistant that connects to your data, writes SQL and code, runs skills in sandboxed environments, and turns analysis into reports, insights, and action. What is DB GPT? DB GPT is an open source agentic AI data assistant for the next generation of AI + Data products. It helps users and teams: connect to databases, CSV / Excel files, warehouses, and knowledge bases ask questions in natural language and let AI write SQL autonomously run Python and code driven analysis workflows load and execute reusable skills…

read the full DB-GPT overview →

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Frequently asked questions

Is ragflow or DB-GPT more popular?

ragflow has 93,460 GitHub stars and DB-GPT has 20,251. ragflow has the larger community by that measure.

Are ragflow and DB-GPT free?

Both are open source. ragflow is licensed under Apache-2.0 and DB-GPT under MIT. Neither carries a licence fee.

What is the difference between ragflow and DB-GPT?

ragflow is written in Go and DB-GPT in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, ragflow or DB-GPT?

Choose ragflow if you want the larger community (93,460 stars) or its Apache-2.0 licence terms. Choose DB-GPT if its feature set, stack or MIT licence fits better. Both are self-hostable.