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martincr / llm-wiki.md
Created April 25, 2026 06:39 — forked from karpathy/llm-wiki.md
llm-wiki

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.

# sets the proxy cache path location, max size 2g
proxy_cache_path /data/nginx/cache levels=1:2 keys_zone=STATIC:100m inactive=24h max_size=2g;
# transfers the `Host` header to the backend
proxy_set_header Host $host;
# uses the defined STATIC cache zone
proxy_cache STATIC;
# cache 200 10 minutes, 404 1 minute, others status codes not cached
https://images.unsplash.com/photo-1448318440207-ef1893eb8ac0
https://images.unsplash.com/photo-1447678523326-1360892abab8
https://images.unsplash.com/photo-1445754574409-bcd715e18017
https://images.unsplash.com/photo-1444682717031-a2498d603d5b
https://images.unsplash.com/photo-1442405740009-7b57cca9d316
https://images.unsplash.com/photo-1439337153520-7082a56a81f4
https://images.unsplash.com/photo-1433832597046-4f10e10ac764
https://images.unsplash.com/photo-1430651717504-ebb9e3e6795e
https://images.unsplash.com/photo-1428190318100-06790c8b2e5a
https://images.unsplash.com/photo-1422504090664-c57eba84293f
#!/usr/bin/env ruby
#
# Convert blogger (blogspot) posts to jekyll posts
#
# Basic Usage
# -----------
#
# ./blogger_to_jekyll.rb feed_url
#
# where `feed_url` can have the following format: