Build an AI RAG Chatbot with OpenAI + Pinecone + Node.js + React Frontend

We are looking for an experienced full-stack developer to build a simple AI-powered RAG (Retrieval-Augmented Generation) chatbot using OpenAI, Pinecone, and Node.js. The chatbot should retrieve relevant information from a knowledge base and generate accurate, context-aware responses. In addition to the backend implementation, the project includes creating a clean and responsive frontend chat interface using React, allowing users to interact with the chatbot in real time. This is a small, short-term project expected to take approximately **3–5 hours**. The ideal candidate should have experience with AI integrations, vector databases, REST APIs, and modern frontend development. **Requirements:** * Build a Node.js backend integrated with the OpenAI API. * Set up Pinecone for vector storage and similarity search. * Implement document embedding and retrieval for the knowledge base. * Create a simple React-based chat interface. * Connect the frontend with the backend API. * Write clean, maintainable, and well-documented code. This is a great opportunity for someone who enjoys building AI-powered applications and can deliver a functional MVP within a short timeframe.