Aging Coder

A frank, detailed review of Vibe Coding: hype, metaphors, contradictions, and real-world AI coding lessons.

Ten years, three articles, and one more trip through MobileNativeJavaScript land.

This article explores how Retrieval Augmented Generation (RAG) can be used with large language models to suggest recipes based on user-provided ingredients. It walks through building a recipe recommendation system using embeddings, vector search, and prompt engineering, complete with code examples and a simple web interface.

The post describes creating a FastAPI endpoint to return recipes based on input ingredients, using a prebuilt model and saved artifacts. It covers setup, artifact loading, sanity checks, and cluster-to-index mappings for quick lookups.

This post introduces unsupervised learning, focusing on clustering and its use for grouping recipes by ingredient similarity. It describes vectorizing ingredients with TF-IDF and applying k-means to form clusters.