Announcing llm-docs-builder: An Open Source Tool for Making Documentation AI-Friendly

Table of Contents

1 The Problem
2 What llm-docs-builder Does2.1 Before and After Example2.2 Why This Matters
2.1 Before and After Example
2.2 Why This Matters
3 How It Works3.1 1. Hierarchical Context Preservation3.2 2. Semantic Noise Removal3.3 3. Enhanced llms.txt Generation
3.1 1. Hierarchical Context Preservation
3.2 2. Semantic Noise Removal
3.3 3. Enhanced llms.txt Generation
4 Getting Started4.1 Installation4.2 Transform Your Documentation4.3 Generate an llms.txt Index4.4 Measure Your Savings4.5 Configuration4.6 Serving Optimized Docs to AI Crawlers
4.1 Installation
4.2 Transform Your Documentation
4.3 Generate an llms.txt Index
4.4 Measure Your Savings
4.5 Configuration
4.6 Serving Optimized Docs to AI Crawlers
5 Why Markdown for RAG Systems
6 When NOT to Use This
7 Next Steps

I am excited to announce the release of llm-docs-builder, a library that transforms Markdown documentation into an AI-optimized format for Large Language Models.

TL;DR: Open source tool that strips 85-95% of noise from documentation for AI systems. Transforms Markdown, generates llms.txt indexes, and serves optimized docs to AI crawlers automatically.