ragflow
★ 93.0k
vs
MiroThinker
★ 8.4k
ragflow vs MiroThinker
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.; MiroThinker: MiroThinker is an open-source deep research agent optimized for research and prediction, achieving leading performance on challenging benchmarks like GAIA. It advances tool-augmented reasoning through interactive scaling, handling deep and frequent agent-environment interactions.
01
TL;DR
ragflowRAG / Knowledge Base · ★ 93.0k
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.
MiroThinkerRAG / Knowledge Base · ★ 8.4k
When to choose:
- You want open-weights research-agent models (30B and 235B, 256K context) trained specifically for up to 400 tool calls per task.
- You are researching or fine-tuning tool-use agents and want the MiroFlow harness, reproducible GAIA/HLE benchmarks, and the 147k-sample MiroVerse dataset.
When to skip:
- You do not have multi-GPU infrastructure to host 30B/235B models and just want an off-the-shelf research app using commercial APIs; use GPT Researcher.
- You want a document RAG platform for enterprise PDFs rather than an open-weights research model; use RAGFlow or MaxKB.
02
Side-by-Side Comparison
Field
ragflowMiroThinkerCategory
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 93.0k
★ 8.4k
License
Apache-2.0
MIT
Install Command
docker compose -f docker-compose.yml up -d
git clone https://github.com/MiroMindAI/MiroThinker
Updated
1d ago
3mo ago
Open Source
Yes
Yes
Tags
RAG, AI Agent, LLM
Deep Research Agent, LLM Agent, Tool Use
03
Features
ragflow01Deep 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.
MiroThinker01Supports a 256K context window for long-horizon reasoning.
02Handles hundreds of tool calls per task, enabling deep multi-step analysis.
03Available in multiple parameter scales (from 8B to 235B) to suit diverse compute budgets.
04Provides a fully open-source agent framework for complete transparency.
05Integrates a comprehensive benchmark suite for extensive evaluation and performance tracking.
04
Use Cases
ragflow↳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.
MiroThinker↳Deep research and information retrieval.
↳Complex prediction tasks, including financial forecasting.
↳Tool-augmented reasoning and multi-step problem solving.
05
Best For
ragflowMost PopularEssentialTrending
MiroThinker—
FAQ
FAQ
What is the difference between ragflow and MiroThinker?
Both ragflow and MiroThinker are in the RAG / Knowledge Base category. ragflow has 93.0k stars, while MiroThinker has 8.4k stars.
Which is better, ragflow or MiroThinker?
The best choice depends on your use case. Choose ragflow if Building high-fidelity, production-ready AI systems with complex data., and MiroThinker if Deep research and information retrieval..
Is ragflow free or open source?
Yes, ragflow is open source on GitHub (Apache-2.0).
Is MiroThinker free or open source?
Yes, MiroThinker is open source on GitHub (MIT).
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