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View profile for Li Yin, graphic

Author of AdalFlow | AI researcher | x MetaAI

We don't believe that simple API integration is the purpose of an LLM library. We believe in the best-performing, most elegant way of building LLM applications. The process should be less frustrating, and developers should steadily push and iterate their applications to the states they want. LightRAG just came out in alpha. I was worried that we wouldn't get too many GitHub stars. But what I truly wanted is for the world to see its beauty in the design and practicability. I wrote every tutorial not just showing how to use APIs, but how to understand, how to reason, and how it can help in different ways. "If I can't explain clearly, I have failed as someone creating the library." I am doing my best, and it will take a bit more time to have it mature. I truly want developers to learn and have that freedom and boost of creativity. It is like giving all the brushes and paints to a painter. Elon Musk would say he is not a businessman but a technologist. So am I. I am going after perfection; not having too many stars might give me more freedom to perfect it. On the other hand, I am also curious about what a community can do together on an open-source project. It is quite a dilemma. I would only want it to move in the direction of something great. We are LightRAG, the PyTorch library for LLM applications. https://lightrag.sylph.ai/ #lightrag #artificialintelligence #llm

Introduction #

lightrag.sylph.ai

Yoan Sallami

PhD in Human-Robot Interactions, expert in neuro-symbolic cognitive architectures, co-founder and CEO of SynaLinks | Building the LLM based Agent systems of tomorrow using Graphs and Symbolic AI.

2w

Hello! nice work, how do you differ from DSPy ?

Akash Puri

Solutions Architect @ Meta || Ads || Video OTT || Ycom'S18

2w

Definetely gonna try!

Amit Meel

Data Scientist @IBM

2w

Very helpful! I will definitely try it🔥🎉

Anuran Roy

Building Products from 0 to 1 to N, hit me up for a chat! | Prompt Engineering / Generative AI, Data/AI, Web3, Cybersecurity and Web Dev | Creating impact through Open Source | Scaled LLMs @Arakoo.ai

2w

I'm sold! DSPy and now this 🫡 Funnily enough, I built something on the similar grounds as this - class based composability, but with LangChain components. Would love to discuss if it can be made into an integration to make it easy to transition for existing LangChain users 🙌

Zion Pibowei

Head of Data Science @Periculum | Building Scalable AI Systems and High-Value Data Products | Leading High-Impact Technical Teams

2w

Great work Li Yin, can't wait to try this out. Ayo Kehinde Samuel you may be interested in this

Altaf R.

Building with AI | AI Agents | AI Assistants | LLM Chatbots | Generative AI

2w

Finally so happy that LightRAG is out. Will definitely give a try and will share my experience

Paul Iusztin

Senior Machine Learning Engineer • MLOps • Founder @ Decoding ML ~ Posts and articles about building production-grade ML/AI systems.

2w

Looks awesome 🔥 Looking forward to give it a spin

"Elon Musk would say he is not a businessman but a technologist. So am I. I am going after perfection; not having too many stars might give me more freedom to perfect it."!!!

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Christo Olivier

AI & Data Engineering Consultant | Data Architecture | GCP

2w

Looks great! It seems to be following a similar approach to other libraries I have seen.

Awesome! keep pushing through. I am optimistic about the community.

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