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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.

@baconpat
baconpat / RecycleViewMatcher.java
Created March 30, 2016 01:13
RecycleViewMatcher (updated for scrolling)
package com.foo.RecyclerViewMatcher;
import android.content.res.Resources;
import android.support.v7.widget.RecyclerView;
import android.view.View;
import org.hamcrest.Description;
import org.hamcrest.Matcher;
import org.hamcrest.TypeSafeMatcher;
@nat-e
nat-e / OrientationChangeAction.java
Last active January 30, 2023 00:04
An Espresso ViewAction that changes the orientation of the screen
/*
* The MIT License (MIT)
*
* Copyright (c) 2015 - Nathan Barraille
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is