deveshcode/shopping-multimodal-rag

The 'shopping-multimodal-rag' project is a textbook implementation of a multimodal retrieval system. With only 1 star and no forks over nearly two years, it lacks any community traction or ecosystem momentum. The technical approach—using CLIP for embeddings and Pinecone as a vector store—is now a standard commodity pattern in AI development. From a competitive standpoint, this project faces extreme risk; frontier labs have moved beyond simple CLIP-based retrieval to native multimodal LLMs (GPT-4o, Gemini 1.5) that can reason about fashion attributes far more deeply than a basic vector match. Furthermore, major e-commerce platforms (Amazon, Shopify, Alibaba) and search providers (Algolia, Google Cloud Retail) have already integrated more sophisticated versions of this functionality. There is no proprietary data or architectural moat here; it serves primarily as a educational reference for building basic RAG applications.