Diamond V
1,919 Elo
- #685 on the ladder
- −6 today · +40 this week
- Peak 1,928
🔍大模型应用开发实战一:RAG 技术全栈指南,在线阅读地址:https://datawhalechina.github.io/all-in-rag/
datawhalechina/all-in-rag is #685 on the bestofgithub Elo ladder, in Diamond V, with a rating of 1,919 (+40 this week). It has 13,143 stars, 193 gained in the last week.
1,919 Elo
13,143
git clone https://github.com/datawhalechina/all-in-rag.git本项目是一个面向小白开发者的大模型应用开发教程,在线阅读地址:https://datawhalechina.github.io/llm-universe/
git clone https://github.com/datawhalechina/llm-universe.git😎 Awesome list of tools and projects with the awesome LangChain framework
git clone https://github.com/kyrolabs/awesome-langchain.gitLangChain for Go, the easiest way to write LLM-based programs in Go
git clone https://github.com/tmc/langchaingo.gitLangchain-Chatchat(原Langchain-ChatGLM)基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain
git clone https://github.com/chatchat-space/Langchain-Chatchat.git[MLsys2026 Best Paper]: https://arxiv.org/abs/2506.08276. RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.
git clone https://github.com/StarTrail-org/LEANN.gitSemantic cache for LLMs. Fully integrated with LangChain and llama_index.
git clone https://github.com/zilliztech/GPTCache.gitLoading README…