Technical content
Blog posts for AI ingestion and RAG teams
Real, concise articles on content normalization, token efficiency, reader APIs and retrieval quality.
HTML vs Markdown for LLMs: Which Format Works Better for AI?
Compare HTML and Markdown for LLM pipelines, RAG systems and AI agents. Learn why Markdown reduces token usage, improves semantic extraction and simplifies AI ingestion.
How to Reduce Token Costs for RAG Pipelines
Learn how to reduce token costs in RAG systems using content normalization, semantic chunking and Markdown-based ingestion pipelines.
How AI Agents Read Websites: From HTML to LLM-Ready Context
Understand how AI agents read websites, why raw HTML is noisy and how AI ingestion pipelines convert pages into clean context for LLM workflows.
How to Optimize Websites for AI Agents and LLM Systems
Learn how AI agents and LLM systems read websites and how to optimize web content for semantic extraction, RAG pipelines and AI ingestion.
A Practical Semantic Chunking Guide for RAG and LLM Systems
Learn how semantic chunking improves RAG pipelines, retrieval quality and LLM context preparation compared to fixed-size chunking.