Sandro sandroconte

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.

Install ImageMagick for image conversion:

brew install imagemagick

Install tesseract for OCR:

brew install tesseract --all-languages

Or install without --all-languages and install them manually as needed.

	from django import forms
	from django_filters import filters


	filters.LOOKUP_TYPES = [
	('', '---------'),
	('exact', 'Is equal to'),
	('not_exact', 'Is not equal to'),
	('lt', 'Lesser than'),
	('gt', 'Greater than'),

	function slugify(text)
	{
	return text.toString().toLowerCase()
	.replace(/\s+/g, '-') // Replace spaces with -
	.replace(/[^\w\-]+/g, '') // Remove all non-word chars
	.replace(/\-\-+/g, '-') // Replace multiple - with single -
	.replace(/^-+/, '') // Trim - from start of text
	.replace(/-+$/, ''); // Trim - from end of text
	}

	sudo yum -y install gcc gcc-c++ kernel-devel
	sudo yum -y install python-devel libxslt-devel libffi-devel openssl-devel
	pip install cryptography

	Copyright the authors of Honcho and/or Ben Lopatin

	Licensed for reuse, modification, and distribution under the terms of the MIT license