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gusye1234/README.md

坚白 Gustavo

📌 Beijing
👀 Large Language Model, Retrieve Augmented Generation(RAG)
🏃 Plan to start a project about adding Memory/State Layer for LLM
🏫 中国科学技术大学(USTC)
🏢 MSRA/Tencent/IDEA -> 沐言智语

Contact

🍠 小红书@坚白Gustavo, 我会定期分享RAG和LLM相关的一些projects
🐦 𝕏@坚白Gustavo, 随机想法
📧 jianbaiye AT outlook DOT com, see next section.

Contact me if ...

  • You're interested in Open-Source and don't know how to start. 你对开源项目很感兴趣,但是不知道怎么开始。
  • You're interested in LLM-native Applications. 你对LLM原生应用很感兴趣。
  • You're interested in better RAG. 你对更好的RAG应用感兴趣。

My Code of coding

  • Flat is better than nested.
  • Try not to make new stuffs.
  • Printability is a great feature.
  • Secretly handling errors for users is arrogant.
  • Making variable names long does not hurt anyone.
  • Don't make things too fancy; it kills possibilities.
  • Any single type should be fully functional on its own.

Pinned Loading

  1. nano-graphrag nano-graphrag Public

    A simple, easy-to-hack GraphRAG implementation

    Python 732 68

  2. memodb-io/drive-flow memodb-io/drive-flow Public

    Build event-driven workflows with python async functions

    Python 8

  3. nano-vectordb nano-vectordb Public

    A simple, easy-to-hack Vector Database

    Python 13 1

  4. llm-as-function llm-as-function Public

    Embed your LLM into a python function

    Python 18 9

  5. chat-spot chat-spot Public

    A Spotlight app. You can talk and snip anything to ChatGPT at your finger-tips

    TypeScript 30 7

  6. LightGCN-PyTorch LightGCN-PyTorch Public archive

    The PyTorch implementation of LightGCN

    Python 831 219