Skip to content

Instantly share code, notes, and snippets.

View louislung's full-sized avatar
🖐️
Data Scientist based in Hong Kong

LKL louislung

🖐️
Data Scientist based in Hong Kong
View GitHub Profile

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.

@giladHaimov
giladHaimov / BasicERC20.sol
Last active November 6, 2025 05:07
Basic ERC20 implementation
pragma solidity ^0.4.19;
contract ERC20Basic {
string public constant name = "ERC20Basic";
string public constant symbol = "BSC";
uint8 public constant decimals = 18;
event Approval(address indexed tokenOwner, address indexed spender, uint tokens);