AgentIndex icon
AgentIndex
aiflowy logo
aiflowy
★ 789
vs
ragflow logo
ragflow
★ 92.7k

aiflowy vs ragflow

aiflowy: AIFlowy is an enterprise-grade, open-source AI agent development platform built with Java, focusing on real-world enterprise needs and regulatory considerations. It supports the full lifecycle of AI applications, including bot creation, RAG, AI workflow orchestration, and multi-model management, offering an efficient and adaptable AI toolchain.; 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.

01

TL;DR

aiflowy logo
aiflowyVision / Multimodal · ★ 789

Developing and deploying enterprise-grade AI agents for automation and specific business needs.

Read aiflowy full review →
ragflow logo
ragflowRAG / Knowledge Base · ★ 92.7k
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.
Read ragflow full review →
02

Side-by-Side Comparison

Field
aiflowy logoaiflowy
ragflow logoragflow
Category
Vision / Multimodal
RAG / Knowledge Base
Stars
★ 789
★ 92.7k
License
NOASSERTION
Apache-2.0
Install Command
git clone https://gitee.com/aiflowy/aiflowy.git && cd aiflowy && mvn clean package
docker compose -f docker-compose.yml up -d
Updated
4mo ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Agent, Java, Enterprise AI
RAG, AI Agent, LLM
03

Features

aiflowy logoaiflowy
01Intelligent Bot Building and Deployment
02Plugin System (Supports custom tool integration)
03RAG Knowledge Base (Supports document upload, parsing, and retrieval)
04AI Workflow Orchestration (Visual workflow + conditions/branches/loops)
05Multi-Model Management (Unified access to mainstream large language models)
ragflow logoragflow
01Deep 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.
04

Use Cases

aiflowy logoaiflowy
↳Developing and deploying enterprise-grade AI agents for automation and specific business needs.
↳Building RAG-powered intelligent chatbots for knowledge management or customer service.
↳Orchestrating complex AI workflows to streamline enterprise business processes.
ragflow logoragflow
↳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.
05

Best For

aiflowy logoaiflowy
—
ragflow logoragflow
Most PopularEssentialTrending
FAQ

FAQ

What is the difference between aiflowy and ragflow?
Both aiflowy and ragflow are in the Vision / Multimodal category. aiflowy has 789 stars, while ragflow has 92.7k stars.
Which is better, aiflowy or ragflow?
The best choice depends on your use case. Choose aiflowy if Developing and deploying enterprise-grade AI agents for automation and specific business needs., and ragflow if Building high-fidelity, production-ready AI systems with complex data..
Is aiflowy free or open source?
Yes, aiflowy is open source on GitHub (NOASSERTION).
Is ragflow free or open source?
Yes, ragflow is open source on GitHub (Apache-2.0).
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