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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.

@ngryman
ngryman / README.md
Last active January 16, 2023 14:07
intellij javascript live templates

intellij javascript live templates

Just a dump of handy live templates I use with IntelliJ. They should also work with WebStorm.

How to

  • Go to settings.
  • Search for live templates.
  • Under the javascript section you should be able to manage your templates.
@leommoore
leommoore / node_redis.md
Last active April 26, 2023 07:01
Node - Redis

#Node - Redis

Redis is a simple key, value pair database. The common commands include:

Data StructureCommands
StringsSET, GET, DEL, APPEND, DECR, INCR...
HashsHSET, HGET, HDEL, HGETALL...
ListsLPUSH, LREM, LTRIM, RPOP, LINSERT...
SetsSADD, SREM, SMOVE, SMEMBERS...