Oleg heilgar

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.

#Laravel 5 Simple ACL manager

Protect your routes with user roles. Simply add a 'role_id' to the User model, install the roles table and seed if you need some example roles to get going.

If the user has a 'Root' role, then they can perform any actions.

Installation

Simply copy the files across into the appropriate directories, and register the middleware in App\Http\Kernel.php

PSQL

Magic words:

psql -U postgres

Some interesting flags (to see all, use -h or --help depending on your psql version):

-E: will describe the underlaying queries of the \ commands (cool for learning!)
-l: psql will list all databases and then exit (useful if the user you connect with doesn't has a default database, like at AWS RDS)

	<?php

	namespace AppBundle\Doctrine;

	use Doctrine\DBAL\Connection;
	use Doctrine\DBAL\Driver\PDOPgSql\Driver as PDOPgSqlDriver;
	use Doctrine\ORM\NativeQuery;

	class PgSqlNativeQueryCursor
	{