The Complete Guide to Python/Django Web Service Development with React (Based on Django 4.2)
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.
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We are releasing a tutorial on how to create a data analysis agent chatbot in 30 minutes using Python/Django.
hello.
< Create a data analysis agent chatbot in 30 minutes with Python/Django > We share the tutorial video and documentation.
Tutorial video: https://www.youtube.com/watch?v=10Fp78n3jSw
Tutorial documentation:https://django-pyhub-ai.readthedocs.io
This article contains the process of quickly creating an LLM situational chatbot and a data analysis agent chatbot using the django-pyhub-ai library that I created. This library is based on the DRY (Don't Repeat Yourself) philosophy, one of Django's core philosophies, to eliminate repetitive and cumbersome tasks and to help easily build an efficient agent-based chat service. You can implement an agent chatbot with code close to the settings without worrying about the web front end. It is based on Django Channels and HTMX, and uses Langchain, famous for its LLM library, internally.
Chatbot operation screen
I believe that by utilizing Django's models/cache/templates/storage/API/authentication, we can create more productive and valuable AI agents. We will continue to strive to deliver various Django news in the future.
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Python Love Room, Lee Jin-seok Dream