
RAG is how you make LLMs answer questions about YOUR data without fine-tuning. Here's how I build RAG pipelines in production -- embedding models, vector databases, chunking strategies, retrieval quality, and the mistakes that make AI search useless.
Engineering Craft
TypeScript, CI/CD, databases, observability -- the skills that make code production-ready.