ollama vs FlashRAG
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| ollama | FlashRAG | |
|---|---|---|
| Tagline | Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. | FlashRAG: A Python Toolkit for Efficient RAG Research |
| Stars | 176k | 3.5k |
| Forks | 17k | 306 |
| Open issues | 3.4k | 37 |
| Language | Go | Python |
| License | MIT | MIT |
| Last pushed | Jul 7, 2026 | Apr 10, 2026 |
| Categories | AI Agents, LLM Frameworks | 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
FlashRAG
FlashRAG is a Python toolkit designed for efficient research in Retrieval Augmented Generation (RAG), offering pre-processed datasets, state-of-the-art algorithms, and an easy-to-use UI.
Python