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## llm-wiki.md

      
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                codemasta
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              Created
              April 4, 2026 19:06
                — forked from karpathy/llm-wiki.md
            
              
                llm-wiki
              
          
    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.

  
## Program.cs
using OpenTelemetry;
using OpenTelemetry.Logs;
using OpenTelemetry.Resources;
using OpenTelemetry.Trace;

var builder = WebApplication.CreateBuilder(args);
var app = builder.Build();

var appResourceBuilder = ResourceBuilder.CreateDefault()
    .AddService(serviceName: Telemetry.ServiceName, serviceVersion: Telemetry.ServiceVersion);

## DatabaseCall.cs
//extension method make a database call by providing a function pointer to Task<T> and passing in a method parameter
 public static async Task<T> DatabaseCall<T>(this IDatabase cache, string key, Func<string, Task<T>> databaseCall, string methodParameter, TimeSpan timeSpan, bool invalidate, bool useCache)
        {
            T returnValue;
            var cachedItem = default(T);
            try
            {
                cachedItem = await cache.GetAsync<T>(key);
            }
            catch (RedisConnectionException ex)

## launchsettings.json
"Watch": {
      "commandName": "Executable",
      "executablePath": "dotnet.exe",
      "workingDirectory": "$(ProjectDir)",
      "commandLineArgs": "watch run",
      "launchBrowser": true,
      "launchUrl": "https://localhost:5001;http://localhost:5000",
      "environmentVariables": {
        "ASPNETCORE_ENVIRONMENT": "Development",
        "ASPNETCORE_HOSTINGSTARTUPASSEMBLIES": "Microsoft.AspNetCore.Mvc.Razor.RuntimeCompilation"

## jsbin.lohamifa.html
<!DOCTYPE html>
<html>
<head>
<meta name="description" content="Callbacks Demo" />
  <meta charset="utf-8">
  <title>JS Bin</title>
</head>
<body>

</body>
	using OpenTelemetry;
	using OpenTelemetry.Logs;
	using OpenTelemetry.Resources;
	using OpenTelemetry.Trace;

	var builder = WebApplication.CreateBuilder(args);
	var app = builder.Build();

	var appResourceBuilder = ResourceBuilder.CreateDefault()
	.AddService(serviceName: Telemetry.ServiceName, serviceVersion: Telemetry.ServiceVersion);
	//extension method make a database call by providing a function pointer to Task<T> and passing in a method parameter
	public static async Task<T> DatabaseCall<T>(this IDatabase cache, string key, Func<string, Task<T>> databaseCall, string methodParameter, TimeSpan timeSpan, bool invalidate, bool useCache)
	{
	T returnValue;
	var cachedItem = default(T);
	try
	{
	cachedItem = await cache.GetAsync<T>(key);
	}
	catch (RedisConnectionException ex)
	"Watch": {
	"commandName": "Executable",
	"executablePath": "dotnet.exe",
	"workingDirectory": "$(ProjectDir)",
	"commandLineArgs": "watch run",
	"launchBrowser": true,
	"launchUrl": "https://localhost:5001;http://localhost:5000",
	"environmentVariables": {
	"ASPNETCORE_ENVIRONMENT": "Development",
	"ASPNETCORE_HOSTINGSTARTUPASSEMBLIES": "Microsoft.AspNetCore.Mvc.Razor.RuntimeCompilation"
	<!DOCTYPE html>
	<html>
	<head>
	<meta name="description" content="Callbacks Demo" />
	<meta charset="utf-8">
	<title>JS Bin</title>
	</head>
	<body>

	</body>