umair mehmood umair313

LLM Wiki

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

Frappe Dev Hacks

Frappe Datepicker control

https://github.com/t1m0n/air-datepicker Docs : http://t1m0n.name/air-datepicker/docs/

Pdf landscape orientation

include in html template

Code is clean if it can be understood easily – by everyone on the team. Clean code can be read and enhanced by a developer other than its original author. With understandability comes readability, changeability, extensibility and maintainability.

General rules

Follow standard conventions.
Keep it simple stupid. Simpler is always better. Reduce complexity as much as possible.
Boy scout rule. Leave the campground cleaner than you found it.
Always find root cause. Always look for the root cause of a problem.

Design rules

Deploy your site with git

This gist assumes:

you have an online remote repository (github / bitbucket etc.)
you have a local git repo
and a cloud server (Rackspace cloud / Amazon EC2 etc)
- your (PHP) scripts are served from /var/www/html/
- your webpages are executed by Apache
the Apache user is named www-data (may be apache on other systems)

	import os
	import io

	from PIL import Image

	from django.core.urlresolvers import reverse
	from django.conf import settings

	from rest_framework import status
	from rest_framework.test import APITestCase

	# Backup
	docker exec CONTAINER /usr/bin/mysqldump -u root --password=root DATABASE > backup.sql

	# Restore
	cat backup.sql \| docker exec -i CONTAINER /usr/bin/mysql -u root --password=root DATABASE