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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.

@yamin8000
yamin8000 / !CsvFromListMain.kt
Last active August 15, 2022 06:51
Create CSV from a Kotlin List
fun main() {
val firstCategory = Category(0, "Phone")
val secondCategory = Category(1, "Laptop")
val categories = listOf(firstCategory, secondCategory)
val csv = csvOf(
listOf("id", "name"),
categories
) {
listOf(it.id.toString(), it.name)
}
@Mahoney
Mahoney / build.gradle.kts
Created May 6, 2020 12:38
Run xvfb around gradle tests
plugins {
kotlin("jvm")
id("com.github.johnrengelman.processes") version "0.5.0"
}
val handle: Property<com.github.jengelman.gradle.plugins.processes.ProcessHandle> = project.objects.property()
val startXvfb by tasks.registering {
val processHandle = project.procs.fork(closureOf<ExecSpec> {
commandLine("/opt/X11/bin/Xvfb", ":99", "-ac")
@t-io
t-io / xvfb_screen_recording.py
Created November 17, 2017 10:34
ScreenRecording xvfb
from selenium import webdriver
import sys, getopt, time, subprocess, shlex
from xvfbwrapper import Xvfb
def run():
print('Sreencast website animation')
xvfb = Xvfb(width=1280, height=720, colordepth=24)
xvfb.start()
@int128
int128 / RequestAndResponseLoggingFilter.java
Last active December 12, 2024 07:41
Spring Web filter for logging request and response
/*
Copyright 2017 Hidetake Iwata
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
@corbanb
corbanb / pre-request-jwt.js
Last active July 22, 2024 13:12
JWT tokenize - Postman Pre-Request Script
function base64url(source) {
// Encode in classical base64
encodedSource = CryptoJS.enc.Base64.stringify(source);
// Remove padding equal characters
encodedSource = encodedSource.replace(/=+$/, '');
// Replace characters according to base64url specifications
encodedSource = encodedSource.replace(/\+/g, '-');
encodedSource = encodedSource.replace(/\//g, '_');