AI-Powered RAG Document Processing & Chatbot with Google Drive, Supabase, OpenAI

Who is this for? This workflow is perfect for: Businesses and teams who need an automated solution to organize, analyze, and retrieve insights from their internal documents. Researchers who want to quickly analyze and query large collections of research papers, reports, or datasets. Customer support teams looking to streamline access to product documentation and support resources. Legal and compliance professionals needing to reference and query legal documents with confidence. AI enthusiasts and developers wanting to implement Retrieval-Augmented Generation (RAG) systems without starting from scratch. What problem is this workflow solving? Manually organizing, processing, and searching thro

Help me set up the n8n workflow "AI-Powered RAG Document Processing & Chatbot with Google Drive, Supabase, OpenAI" (https://n8n.io/workflows/4551). It uses: Google Drive, Code, AI Agent, Basic LLM Chain, Embeddings OpenAI, OpenAI Chat Model, Simple Memory, Structured Output Parser, Character Text Splitter, Supabase Vector Store, Default Data Loader, Google Gemini Chat Model. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.