LightRAG vs ollama
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| LightRAG | ollama | |
|---|---|---|
| Tagline | LightRAG: Simple and Fast Retrieval-Augmented Generation | Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. |
| Stars | 37k | 176k |
| Forks | 5.3k | 17k |
| Open issues | 225 | 3.4k |
| Language | Python | Go |
| License | MIT | MIT |
| Last pushed | Jul 7, 2026 | Jul 7, 2026 |
| Categories | LLM Frameworks | AI Agents, LLM Frameworks |
LightRAG
[EMNLP2025] LightRAG is a simple and fast tool for retrieval-augmented generation, aimed at enhancing the performance of large language models through knowledge graph integration.
Python
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