---
title: "graphrag vs uptrain"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/microsoft-graphrag-vs-uptrain-ai-uptrain"
tools: ["microsoft-graphrag", "uptrain-ai-uptrain"]
---

# graphrag vs uptrain

Neutral, constraint-first comparison with live GitHub stats.

| | [graphrag](/tools/microsoft-graphrag.md) | [uptrain](/tools/uptrain-ai-uptrain.md) |
| --- | --- | --- |
| Tagline | Graph-based Retrieval-Augmented Generation (RAG) system | Unified platform to evaluate and improve Generative AI applications |
| Stars | 34,240 | 2,354 |
| Forks | 3,621 | 202 |
| Open issues | 158 | 55 |
| Language | Python | Python |
| License | MIT | Apache-2.0 |
| Categories | Data & Retrieval, LLM Frameworks | Evaluation & Observability |

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=microsoft-graphrag`](/api/graphcanon/graph?tool=microsoft-graphrag)
- 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/_