Skip to content

Instantly share code, notes, and snippets.

View rami-alloush's full-sized avatar
🎯
Focusing

Rami Alloush rami-alloush

🎯
Focusing
  • USA
View GitHub Profile
@rami-alloush
rami-alloush / llm-wiki.md
Created April 5, 2026 23:46 — forked from karpathy/llm-wiki.md
llm-wiki

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.

**Privacy Policy**
Hemayah built the Hemayah app as a Free app. This SERVICE is provided by Hemayah at no cost and is intended for use as is.
This page is used to inform visitors regarding our policies with the collection, use, and disclosure of Personal Information if anyone decided to use our Service.
If you choose to use our Service, then you agree to the collection and use of information in relation to this policy. The Personal Information that we collect is used for providing and improving the Service. We will not use or share your information with anyone except as described in this Privacy Policy.
The terms used in this Privacy Policy have the same meanings as in our Terms and Conditions, which is accessible at Hemayah unless otherwise defined in this Privacy Policy.
@rami-alloush
rami-alloush / mask.directive.ts.md
Last active July 30, 2024 11:13 — forked from gund/mask.md
Simple Angular mask directive

Simple Angular mask directive

This directive does not create it's own value accessor - it simply reuses whatever element is using already and just hooks in.

Also it is fully abstracted off of the HTML implementation and so can be safely used in WebWorker and server side environment.

Usage

===== docker build =====
starting docker buildStep 1/7 : FROM divio/base:4.15-py3.6-slim-stretch
---> aa51c9f2588f
Step 2/7 : ENV PIP_INDEX_URL=${PIP_INDEX_URL:-https://wheels.aldryn.net/v1/aldryn-extras+pypi/${WHEELS_PLATFORM:-aldryn-baseproject-py3}/+simple/} WHEELSPROXY_URL=${WHEELSPROXY_URL:-https://wheels.aldryn.net/v1/aldryn-extras+pypi/${WHEELS_PLATFORM:-aldryn-baseproject-py3}/}
---> Running in 8479b9ba8f5a
Removing intermediate container 8479b9ba8f5a
---> 06a2ad29d64c
Step 3/7 : COPY requirements.* /app/
---> c81bac5dadd2