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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.

@Potherca
Potherca / README.md
Last active January 20, 2026 15:16
BASH scripts to go through all the steps to make a (VPS) server more secure.
@albertzsigovits
albertzsigovits / ida.txt
Created January 31, 2019 10:30
IDA Pro Tips and Tricks
# IDA Pro Keyboard shortcuts and tips:
######################################
Ctrl+E - Return to entry point
Alt+M - Set bookmark
Ctrl+M - List bookmarks
Space - Toggle full screen/workflow view
Esc - Backup to parent function
Ctrl+X - Find All X-References
Ctrl+R - Change reference information e.g deltas etc.