🎯
Focusing
BuildingMemobase, a user profile-based memory backend.
📌 Beijing
👀 Large Language Model, Retrieve Augmented Generation(RAG)
🏃 Plan to start a project about addingMemory/State Layer for LLM
🏫 中国科学技术大学(USTC)
🏢 MSRA/Tencent/IDEA/沐言智语 -> memodb.io
🍠 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
- 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。
- Flat is better than nested.
- Try not to make new stuffs.
- Printability is a great feature.
- Write something before you code.
- Overly abstract means narcissism.
- Hiding errors is just plain cocky.
- Long variable names doesn't hurt anyone.
PinnedLoading
- memodb-io/memobase
memodb-io/memobase PublicProfile-Based Long-Term Memory for AI Applications
- memodb-io/drive-flow
memodb-io/drive-flow PublicBuild event-driven workflows with python async functions
Python 33
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