Build a Document-based AI Chatbot with Google Drive, Llama 3, and Qdrant RAG

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Overview This template allows users to set up an AI-powered chatbot that retrieves and processes knowledge from Google Drive documents using Retrieval-Augmented Generation (RAG). By leveraging Llama 3 for natural language responses and Qdrant vector storage for document embeddings, this chatbot provides accurate, context-aware answers based on stored files. Problem It Solves Standard AI chatbots often rely on predefined models with limited real-time knowledge access. This workflow overcomes tha