RAG Chatbot for Movie Recommendations with Qdrant & OpenAI

This workflow creates a sophisticated recommendation system powered by Retrieval-Augmented Generation (RAG) to deliver accurate, hallucination-free movie suggestions. It leverages the IMDB top-1000 dataset, embedding movie descriptions with OpenAI models into a Qdrant vector database. Users interact via a chat interface with an AI agent that interprets wishes and 'big no's' (e.g., 'A movie about wizards but not Harry Potter'), triggering a workflow to fetch top-3 recommendations using Qdrant's R