RAGFlow VS Squirro

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

Squirro

Squirro
Empower your enterprise decision-making with SquirroGPT's generative AI, enabling smarter decisions, evidence-based answers, and enterprise-grade security.

RAGFlow

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

Squirro

Launched 2011-11
Pricing Model Paid
Starting Price
Tech used Google Tag Manager,Cloudflare CDN,JSDelivr,Bootstrap,jQuery,Gzip,OpenGraph,HSTS
Tag Document Automation,Knowledge Search,Knowledge Management

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

Squirro Rank/Visit

Global Rank 1038219
Country United States
Month Visit 27738

Top 5 Countries

65.68%
4.68%
4.42%
4.36%
3.41%
United States Germany India Switzerland Spain

Traffic Sources

5.55%
1.07%
0.08%
6.49%
42.35%
44.47%
social paidReferrals mail referrals search direct

Estimated traffic data from Similarweb

What are some alternatives?

When comparing RAGFlow and Squirro, 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.

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

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