ollama vs rags
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| ollama | rags | |
|---|---|---|
| Tagline | Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. | Streamlit app for RAG pipeline creation with natural language interface |
| Stars | 176k | 6.5k |
| Forks | 17k | 660 |
| Open issues | 3.4k | 38 |
| Language | Go | Python |
| License | MIT | MIT |
| Last pushed | Jul 7, 2026 | Apr 5, 2024 |
| Categories | AI Agents, LLM Frameworks | LLM Frameworks, Developer Tools |
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
rags
RAGs is a Streamlit application that enables users to describe tasks and configure parameters naturally while building Retrieval-Augmented Generation (RAG) pipelines. The project involves an OpenAI-based builder agent and supports local files or web pages as data sources.
Python