ollama vs R2R
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| ollama | R2R | |
|---|---|---|
| Tagline | Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. | SoTA production-ready AI retrieval system. |
| Stars | 176k | 7.9k |
| Forks | 17k | 644 |
| Open issues | 3.4k | 121 |
| Language | Go | Python |
| License | MIT | MIT |
| Last pushed | Jul 7, 2026 | Nov 7, 2025 |
| Categories | AI Agents, LLM Frameworks | Data & Retrieval, LLM Frameworks |
ollama
Ollama is a platform for deploying and interacting with various large language models (LLMs) such as Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, and Gemma on macOS, Windows, Linux, and Docker environments.
Go
R2R
SciPhi-AI/R2R is an advanced retrieval-augmented generation (RAG) system that offers a RESTful API for multimodal content ingestion, hybrid search, and deep research capabilities. It supports agentic RAG with comprehensive document management features.
Python