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Eike eikelab

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  • downstream Hamburg
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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.

Keybase proof

I hereby claim:

  • I am edehde on github.
  • I am edehde (https://keybase.io/edehde) on keybase.
  • I have a public key whose fingerprint is 2B0A A58D B300 2C4E FD6A 2AA6 C9E1 2117 81D4 21D4

To claim this, I am signing this object: