The LLM Wiki: A Pattern for Smarter Organisational Knowledge Bases

Sun, 05 Apr 2026 00:00:00 +0000

A Better Pattern for Organisational Knowledge

Andrej Karpathy - the AI researcher known for his work at OpenAI and Tesla - recently shared a pattern he calls the “LLM Wiki.” It addresses a fundamental limitation in how most organisations use large language models for knowledge work today.

The standard approach is retrieval-augmented generation (RAG): upload documents, the AI retrieves relevant chunks at query time, and generates an answer. It powers tools like ChatGPT file uploads and most enterprise search products. It works - but nothing accumulates. Every question forces the AI to rediscover knowledge from scratch, piecing together fragments across documents each time.

AI for Knowledge Transfer: The Opportunity Most Organisations Miss

Sun, 08 Mar 2026 00:00:00 +0000

AI for Knowledge Transfer: The Opportunity Most Organisations Are Missing

Across industries, the dominant conversation about AI is about augmentation: helping people work faster, automating repetitive tasks, and processing existing information more efficiently. That is valuable, and organisations are beginning to see the returns across areas like reporting, scheduling, and operational monitoring.

But there is an equally important application that is largely overlooked, and in our experience building AI systems inside large organisations, one of the highest-value problems AI is actually well-suited to address.

Knowledge-Management on AI For Human Expertise

The LLM Wiki: A Pattern for Smarter Organisational Knowledge Bases

A Better Pattern for Organisational Knowledge

AI for Knowledge Transfer: The Opportunity Most Organisations Miss

AI for Knowledge Transfer: The Opportunity Most Organisations Are Missing