#python#docker#fastapi#kbqa#kgqa#llms#neo4j#rag#vue
Yuxi-Know (语析) is a free, open-source platform built with LangGraph, Vue.js, FastAPI, and LightRAG to create smart agents using RAG knowledge bases and knowledge graphs. The latest v0.4.0-beta (Dec 2025) adds file uploads, multimodal image support, mind maps from files, evaluation tools, dark mode, and better graph visuals. It helps you quickly build and deploy custom AI agents for Q&A, analysis, and searches without starting from scratch, saving time and effort on development.
https://github.com/xerrors/Yuxi-Know
Django Q on Windows
We're developing with Django Q and Mac OS and it runs on our Linux Servers. Now we hired external developers which work on Windows machines and we discovered that Django Q is not working on Windows due to missing fork implementation.
Does anyone use Django Q on Windows?
answer:
Use #Docker with local windows code directory mounted inside container,
run the docker container interactively and forward a port 8000 to host machine,
then run migrations, test server and other stuff inside the container.
https://gist.github.com/Yogendra0Sharma/5aa96ebfd0854623a5451c53672088d5
Guide on how to create and set up a Dockerized web app using #Django REST APIs and #React
#docker
Version 3.10 of the legendary programming language is now here: https://www.python.org/downloads/release/python-3100
No rush to update, though. #Python
#Python is the main language of data science, per this analysis on 10M Jupyter Notebooks: https://blog.jetbrains.com/datalore/2020/12/17/we-downloaded-10-000-000-jupyter-notebooks-from-github-this-is-what-we-learned/
https://gist.github.com/genomics-geek/98929a9e7ba9602fed7bfa4a5a1c5c4e
Guide on how to create and set up a Dockerized web app using #Django_REST_APIs and #ReactJS
#Docker