graphrag vs awesome-llm-apps
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| graphrag | awesome-llm-apps | |
|---|---|---|
| Tagline | Graph-based Retrieval-Augmented Generation (RAG) system | 100+ AI Agent & RAG apps you can actually run — clone, customize, ship. |
| Stars | 34k | 117k |
| Forks | 3.6k | 17k |
| Open issues | 158 | 6 |
| Language | Python | Python |
| License | MIT | Apache-2.0 |
| Last pushed | Jun 22, 2026 | Jun 15, 2026 |
| Categories | Data & Retrieval, LLM Frameworks | AI Agents, LLM Frameworks |
graphrag
A modular graph-based RAG system designed to extract structured data from unstructured text using Large Language Models.
Python
awesome-llm-apps
A repository containing a collection of AI agent and Retrieval-Augmented Generation (RAG) applications that are ready to be cloned, customized, and deployed. The projects cover various aspects such as AI agents, always-on agents, multi-agent teams, RAG techniques, voice agents, fine-tuning for specific use cases, and more.
Python