RAGFlow VS R2R

Let’s have a side-by-side comparison of RAGFlow vs R2R to find out which one is better. This software comparison between RAGFlow and R2R is based on genuine user reviews. Compare software prices, features, support, ease of use, and user reviews to make the best choice between these, and decide whether RAGFlow or R2R fits your business.

RAGFlow

RAGFlow
RAGFlow: The RAG engine for production AI. Build accurate, reliable LLM apps with deep document understanding, grounded citations & reduced hallucinations.

R2R

R2R
SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.

RAGFlow

Launched 2024-02
Pricing Model Free
Starting Price
Tech used Vercel,Atom,Gzip,OpenGraph,RSS,HSTS
Tag Knowledge Management,Question Answering,Data Extraction

R2R

Launched
Pricing Model Free
Starting Price
Tech used
Tag

RAGFlow Rank/Visit

Global Rank 144118
Country China
Month Visit 231017

Top 5 Countries

49.33%
14.38%
6.29%
5.09%
3.91%
China United States Vietnam Singapore Germany

Traffic Sources

0.8%
0.33%
0.03%
11.91%
31.01%
55.91%
social paidReferrals mail referrals search direct

R2R Rank/Visit

Global Rank
Country
Month Visit

Top 5 Countries

Traffic Sources

Estimated traffic data from Similarweb

What are some alternatives?

When comparing RAGFlow and R2R, you can also consider the following products

Ragdoll AI - Ragdoll AI simplifies retrieval augmented generation for no-code and low-code teams. Connect your data, configure settings, and deploy powerful RAG APIs quickly.

OpenRAG - OpenRag is a lightweight, modular and extensible Retrieval-Augmented Generation (RAG) framework designed to explore and test advanced RAG techniques — 100% open source and focused on experimentation, not lock-in.

ApeRAG - ApeRAG: Production-ready GraphRAG for intelligent AI agents. Unlock deep context & reliable reasoning from all your multi-modal enterprise data.

HelloRAG.ai - HelloRAG is a no-code, easy-to-use and scalable solution to ingest human and machine generated multi-modal data for LLM-powered applications

More Alternatives