Embeddings

RAG is the dominant AI application pattern. Chunking is the #1 pain point.

Production decision-making checklist to understand if a vector database is really required

How models learn semantic relationships in language

The Invisible Tax of AI Tokenization: Why Non-English Speakers Pay More

How your prompt becomes vectors, attention, and text in milliseconds

How words find their place in semantic space through push, pull, and careful trade-offs

How a simple observation about language created modern AI's understanding of meaning

The 35-year engineering journey that turned a linguistic insight into AI's foundation

How I stopped seeing vectors as magic and started seeing them as the geometry of meaning itself.