🤖 AI Powered RAG Chatbot for Your Docs + Google Drive + Gemini + Qdrant

🤖 AI-Powered RAG Chatbot with Google Drive Integration This workflow creates a powerful RAG (Retrieval-Augmented Generation) chatbot that can process, store, and interact with documents from Google Drive using Qdrant vector storage and Google's Gemini AI. How It Works Document Processing & Storage 📚 Retrieves documents from a specified Google Drive folder Processes and splits documents into manageable chunks Extracts metadata using AI for enhanced search capabilities Stores document vectors in Qdrant for efficient retrieval Intelligent Chat Interface 💬 Provides a conversational interface powered by Google Gemini Uses RAG to retrieve relevant context from stored documents Maintains chat hi

Help me set up the n8n workflow "🤖 AI Powered RAG Chatbot for Your Docs + Google Drive + Gemini + Qdrant" (https://n8n.io/workflows/2982). It uses: Telegram, Google Drive, Google Docs, AI Agent, LangChain Code, Embeddings OpenAI, OpenAI Chat Model, Simple Memory, Token Splitter, Default Data Loader, Qdrant Vector Store, Google Gemini Chat Model, Information Extractor. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.