#AI Engineering

Shipping an AI feature and calling it good because it 'seems to work' is not a quality strategy. This post covers types of LLM evals, key metrics, building evaluation datasets, eval tools like promptfoo and Braintrust, and integrating evals into CI.

LLMs don't know what they weren't trained on. Here's how RAG fixes that — walking through the complete pipeline from document ingestion to chunking, embedding, vector storage, retrieval, and generation with real Python and TypeScript examples.