Silver III
1,480 Elo
- #5,850 on the ladder
- −6 today · +39 this week
- Peak 1,488
SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.
SciPhi-AI/R2R is #5,850 on the bestofgithub Elo ladder, in Silver III, with a rating of 1,480 (+39 this week). It has 8,096 stars, 23 gained in the last week.
1,480 Elo
8,096
git clone https://github.com/SciPhi-AI/R2R.gitHigh accuracy RAG for answering questions from scientific documents with citations
git clone https://github.com/Future-House/paper-qa.git💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
git clone https://github.com/neuml/txtai.gitA series of large language models trained from scratch by developers @01-ai
git clone https://github.com/01-ai/Yi.git🧑🚀 全世界最好的LLM资料总结(多模态生成、Agent、辅助编程、AI审稿、数据处理、模型训练、模型推理、o1 模型、MCP、小语言模型、视觉语言模型) | Summary of the world's best LLM resources.
git clone https://github.com/WangRongsheng/awesome-LLM-resources.gitA collection of libraries to optimise AI model performances
git clone https://github.com/nebuly-ai/optimate.git[EMNLP2025] LightRAG: Simple and Fast Retrieval-Augmented Generation
pipx install lightrag-hkuLoading README…