Solidify your foundation in Python/Django web service development. Learning Django takes time, but you can maximize your productivity through iterative development. Turn your imagination into reality.
I'm sharing a Django-based tutorial from "RAG from the ground up to web chat".
hello.
In the era of AI/LLM/agents, I think there are more things you can do with Django. So, to spread Django, I am developing and sharing various AI-related tutorials.
For the third tutorial, I'm sharing a Django-based "RAG from Scratch to Web Chat" tutorial.
https://ai.pyhub.kr/rag-01/
These days, RAG and RAG-based web chat are firmly established as use cases in AI applications. RAG is a core technology for obtaining knowledge data when creating services such as ChatGPT these days. Not only general companies, but also many public institutions are competing to develop RAG chatbots. Web chat and various functions required for RAG are functions that Django already supports well. You can implement RAG web chat with high productivity based on Django.
The YouTube live broadcast that was planned to be a supplementary Q&A session to the lecture that we previously informed you about requires more preparation, so we will proceed with it after the Lunar New Year holiday.
It's more fun to do it together than to follow the tutorial alone. On Saturday, January 25th at 9 PM , I'm going to hold < Follow along. "RAG from the bottom to web chat" Tutorial Live #1 >. We'll build our understanding by implementing RAG directly with Python, and I'll explain the tutorial on creating a web chat UI using Django/htmx live, and we'll have a Q&A. We'll build our understanding by practicing together. If you're interested in RAG and Django-based RAG development, come see me on YouTube this Saturday. :-)
https://www.youtube.com/live/aI-Dt4wSgLY
thank you
Python Love Room Lee Jin-seok Dream