kandros

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.

kandros

import * as PgDrizzle from "@effect/sql-drizzle/Pg";
import { PgClient } from "@effect/sql-pg";
import { Config, Effect } from "effect";
import * as schema from "~/lib/server/schema";

const PgLive = PgClient.layerConfig({
  url: Config.redacted("DATABASE_URL"),
});

export class DrizzleClient extends Effect.Service<DrizzleClient>()("app/DrizzleClient", {

kandros

// lib/server/sse/event-bus.ts
import { EventEmitter } from "events";
import { logger } from "~/lib/logger/logger";

interface SessionEvent {
  type: string;
  data: Object;
  timestamp: string;
}

kandros

{
"functional component": {
    "prefix": ["func, fnc", "component", "fc", "func"],
    "description": "react functional component",
    "body": [
      "import React from 'react'",
      "type Props = {}",
      "export const $TM_FILENAME_BASE: React.FC<Props> = () => {",
      "\treturn (",
      "\t\t<div>",

kandros

FROM node:14-alpine as builder
WORKDIR /app

ENV NODE_ENV=production
COPY package.json package-lock.json tsconfig.json ./
COPY src ./src 
RUN npm ci --also=dev
RUN npm run build:ts
RUN npm prune --production

kandros

e2e
fixtures
*.test.*
node_modules
.next
.env
Dockerfile
.git 

kandros

import { UserProvider } from "@app/context/user-context"
import "@app/styles/font.css"
import "@app/styles/global.css"
import "@app/styles/reset.css"
import { NextComponentType } from "next"
import App, { AppContext, AppInitialProps, AppProps } from "next/app"
import Head from "next/head"
import { parseCookies } from "nookies"

const CustomApp: NextComponentType<AppContext, AppInitialProps, AppProps> = ({ Component, pageProps }) => {

kandros

const path = require(`path`)
const { createFilePath } = require(`gatsby-source-filesystem`)

exports.createPages = async ({ graphql, actions }) => {
  const { createPage } = actions

  const blogPost = path.resolve(`./src/templates/blog-post.js`)
  const postsPromise = graphql(
    `
      {

kandros

document.addEventListener("keydown", e => {
  if (e.key === "f") {
    const btn = document.querySelector(
      "#vjs_video_3 > div.playlist-arrow-button.hover-button"
    );
    btn.click();
  } else if (e.code === "Space") {
    e.preventDefault();
    const video = document.querySelector("#vjs_video_3_html5_api");

kandros

const paymentMachine = Machine({
  id: 'payment',
  initial: 'method',
  states: {
    method: {
      initial: 'cash',
      states: {
        cash: { on: { SWITCH_CHECK: 'check' } },
        check: { on: { SWITCH_CASH: 'cash' } },
        hist: { type: 'history' }