Build & Update RAG System: Google Drive, Qdrant, Gemini Chat

This n8n workflow creates and maintains a Retrieval-Augmented Generation (RAG) system by integrating Google Drive as a document source, Qdrant as a vector database, and Google Gemini for intelligent chat interactions. It handles full initial setups by creating or clearing Qdrant collections with cosine similarity metrics, then processes documents from a specified Drive folder: downloading files, extracting text, chunking content, generating embeddings via OpenAI, and storing them in Qdrant for s