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Matteo Veroni mavek87

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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.

@cardil
cardil / JEP.md
Last active September 12, 2025 17:54
[Draft] JEP - Change name of imported type (aliasing)

Summary

Change name of imported type (aliasing)

Goals

The goal is to make code more productive and clean in cases where multiple classes with same name must be used in code. It should relief a developers frustration in that