ollama vs raptor
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| ollama | raptor | |
|---|---|---|
| Tagline | Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. | RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval |
| Stars | 176k | 1.7k |
| Forks | 17k | 230 |
| Open issues | 3.4k | 45 |
| Language | Go | Python |
| License | MIT | MIT |
| Last pushed | Jul 7, 2026 | Sep 3, 2024 |
| Categories | AI Agents, LLM Frameworks | Inference & Serving, AI Agents, Model Training |
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
raptor
A Python implementation of RAPTOR, focusing on retrieval-augmented language models using a recursive tree structure. It enhances information retrieval efficiency across large texts.
Python