r/MachineLearning · 4h ago · 7 · rag embedding open source deployment

A software engineer built a Steam game recommender system using LLM-powered review analysis to extract nuanced game characteristics (vibes, mechanics, focus percentages) into vector embeddings, then implemented retrieval using PostgreSQL and Chroma DB with a React frontend. The project demonstrates practical RAG and embedding techniques for creating explainable recommendations that surface why games are suggested, avoiding collaborative filtering homogeneity.