sarajose/RAG-for-Aligning-Greener-Electronics-Recommendations

The project is a specialized implementation of the standard Retrieval-Augmented Generation (RAG) pattern, focused on the niche of EU electronics policy. With 0 stars and 0 forks over a 60-day period, it lacks any market traction, community support, or evidence of use beyond a personal or academic experiment. Technically, it represents a 'wrapper' approach where domain-specific documents (EU policies) are fed into a generic LLM pipeline. This approach has no defensible moat; any platform with a large-scale LLM (OpenAI, Google, Amazon) can trivially replicate this functionality by including these public policy documents in their training sets or RAG contexts. Major e-commerce platforms like Amazon or Google Shopping are the natural 'owners' of this capability, as they already possess the product catalogs and are under increasing pressure to surface sustainable choices. There is no unique algorithmic innovation or proprietary dataset here that would prevent a developer from rebuilding the entire system in a weekend.