Ragas VS RAGFlow

Let’s have a side-by-side comparison of Ragas vs RAGFlow to find out which one is better. This software comparison between Ragas and RAGFlow 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 Ragas or RAGFlow fits your business.

Ragas

Ragas
Stop guessing. Ragas provides systematic, data-driven evaluation for LLM applications. Test, monitor, and improve your AI with confidence.

RAGFlow

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

Ragas

Launched 2023-10
Pricing Model Free
Starting Price
Tech used
Tag Data Analysis,Developer Tools,Test Automation

RAGFlow

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

Ragas Rank/Visit

Global Rank 220485
Country China
Month Visit 129004

Top 5 Countries

20.56%
11.89%
10.79%
8.92%
5.71%
China Germany United States India Switzerland

Traffic Sources

2.01%
0.8%
0.1%
8.45%
44.95%
43.65%
social paidReferrals mail referrals search direct

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

Estimated traffic data from Similarweb

What are some alternatives?

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

RagMetrics - Evaluate & improve your LLM applications with RagMetrics. Automate testing, measure performance, and optimize RAG systems for reliable results.

Ragbits - Accelerate reliable GenAI development. Ragbits offers modular, type-safe building blocks for LLM, RAG, & data pipelines. Build robust AI apps faster.

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.

RAG-FiT - Boost your LLMs with RAG-FiT: a modular framework for Retrieval-Augmented Generation optimization. Fine-tune, evaluate, and deploy smarter models effortlessly. Explore RAG-FiT now!

More Alternatives