---
title: "ragflow vs llm-app"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/infiniflow-ragflow-vs-pathwaycom-llm-app"
tools: ["infiniflow-ragflow", "pathwaycom-llm-app"]
---

# ragflow vs llm-app

Neutral, constraint-first comparison with live GitHub stats.

| | [ragflow](/tools/infiniflow-ragflow.md) | [llm-app](/tools/pathwaycom-llm-app.md) |
| --- | --- | --- |
| Tagline | RAGFlow: A powerful Retrieval-Augmented Generation with enhanced Agent capabilities in Go | Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. |
| Stars | 84,530 | 59,096 |
| Forks | 9,848 | 1,431 |
| Open issues | 2,331 | 10 |
| Language | Go | Jupyter Notebook |
| License | Apache-2.0 | MIT |
| Categories | AI Agents, LLM Frameworks | Data & Retrieval, LLM Frameworks |

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=infiniflow-ragflow`](/api/graphcanon/graph?tool=infiniflow-ragflow)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_