Pinecone Jobs

My e-commerce site already holds every product record in a MongoDB cluster, and I now want a Retrieval-Augmented Generation (RAG) layer that can pull that data on-demand for search, chat, and merchandising features. Here’s what I need built: • A lightweight service (Python preferred; open to Node.js) that connects securely to the existing MongoDB collection and exposes a clean retrieval interface. • An embedding/indexing routine so product documents can be vectorised and queried efficiently (e.g., with FAISS, Pinecone, or a native MongoDB Atlas Vector Search). • RAG pipeline logic that combines the retrieved product fields with a language model prompt to produce rich, real-time answers. • Environment configuration and clear instructions so I can run, exten...