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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.

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Gaming LinkedIn: Bots, Automation & How People Get Caught

Research compiled: April 2026 Sources: Public reporting, court filings, LinkedIn transparency reports, Reddit communities, security research, news coverage through mid-2025

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Table of Contents

1. Common Bot & Automation Tactics

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import os
from typing import Dict
from langchain.tools import tool
import requests

# Replace with your GitHub token or use environment variables
GITHUB_TOKEN = "your_github_token_here"

@tool

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This is updated content by LangChain tool

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The repository for the assignment is public and Github does not allow the creation of private forks for public repositories.

The correct way of creating a private frok by duplicating the repo is documented here.

For this assignment the commands are:

1. Create a bare clone of the repository. (This is temporary and will be removed so just do it wherever.)

git clone --bare git@github.com:usi-systems/easytrace.git

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Rails Deployment to AWS EC2

Stack : (Nginx + Phusion Passenger + Postgresql)

By Manoj Naidu

Here is the Video Tutorial

• Step -1

  To Launch an EC2 instance from aws console with all the credentials and configurations hooked.

• Step-2

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{
  "plugins": ["transform-runtime"],
  "presets": [
    ["env", {
      "targets": {
        "ie": "11",
        "browsers": ["last 2 versions"]
      }
    }]
  ]

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// ----
// libsass (v3.3.2)
// ----

$sizer: 1rem;
$sizer-increment: 5;

$sizers: ();

@for $i from 1 through 20 {

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// ----
// libsass (v3.3.2)
// ----

$spacer: 1rem;
$spacer-x: $spacer;
$spacer-y: $spacer;

$spacers: ();

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//
//  Utilities.swift
//  swift-couchbaselite
//
//  Created by Jens Alfke on 9/17/14.
//  Copyright (c) 2014 Couchbase, Inc. All rights reserved.
//

import Foundation