Tutorial #6: LangChain & StrictJSON Implementation of Knowledge Graph Question Answer with LLMs

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I show how we can use LangChain Graph QA, as well as my very own Strict JSON framework, to parse input text into knowledge graphs, and use knowledge graphs as the context to ground generation.

Jupyter Notebook: https://github.com/tanchongmin/TensorFlow-Implementations/blob/main/Tutorial/LLM%20with%20Knowledge%20Graphs.ipynb
Full Video on LLMs and Knowledge Graphs: https://www.youtube.com/watch?v=1RZ5yIyz31c

StrictJSON Framework: https://github.com/tanchongmin/strictjson
LangChain Documentation: https://python.langchain.com/docs/get_started/introduction.html

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0:00 Introduction
1:37 LangChain Graph QA
8:05 Strict JSON Framework Graph QA

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AI and ML enthusiast. Likes to think about the essences behind breakthroughs of AI and explain it in a simple and relatable way. Also, I am an avid game creator.

Discord: https://discord.gg/bzp87AHJy5
LinkedIn: https://www.linkedin.com/in/chong-min-tan-94652288/
Online AI blog: https://delvingintotech.wordpress.com/
Twitter: https://twitter.com/johntanchongmin
Try out my games here: https://simmer.io/@chongmin




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