LLM Wikis Are Over-Engineered — I Replaced Mine With a Pure Python Compiler
中文摘要
作者认为LLM知识库过度设计，通过纯Python编译器替代智能体，实现了更确定且高效的Markdown笔记组织。
English Summary
The author replaced over-engineered LLM wikis using agents and embeddings with a pure Python compiler for more deterministic and efficient markdown note organization.
Most "LLM wikis" use agents, embeddings, and repeated model calls to organize local notes. I built a deterministic alternative: a pure Python compiler that turns messy markdown into a linked, linted wiki using only the standard library. Along the way, I fixed two real bugs, benchmarked the pipeline on two operating systems, and showed why a compiler is often a better fit than an agent for mechanical text organization. The post LLM Wikis Are Over-Engineered — I Replaced Mine With a Pure Python Compiler appeared first on Towards Data Science.