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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.

@PlugFox
PlugFox / keyboard_observer.dart
Last active January 15, 2023 16:32
Dart Virtual Key Codes table and KeyboardObserver for win32 package, hotkey
import 'dart:async';
import 'dart:ffi' show Uint8, Uint8Pointer;
import 'package:ffi/ffi.dart' show calloc; // , malloc
import 'package:win32/win32.dart'
show GetKeyboardState, GetKeyState; // , GetAsyncKeyState;
import 'virtual_key_codes.dart';
/// Key - Virtual Key codes
@v5tech
v5tech / 知乎日报API.md
Last active May 7, 2025 05:59
知乎日报API
@fanzeyi
fanzeyi / v2ex_api.md
Last active April 29, 2024 08:43
V2EX API