Chat with Google Drive documents using OpenAI and Pinecone RAG search

Try it out This n8n workflow template lets you chat with your Google Drive documents (.docx, .json, .md, .txt, .pdf) using OpenAI and Pinecone vector database. It retrieves relevant context from your files in real time so you can get accurate, context-aware answers about your proprietary data—without the need to train your own LLM. Not interested in chunking and embedding your own data or figuring out which search method to use? Try our n8n quickstart for Pinecone Assistant here or check out the full workflow to chat with your Google Drive documents here. Prerequisites A Pinecone account A GCP project with Google Drive API enabled and configured An Open AI account and API key A Cohere accoun

Help me set up the n8n workflow "Chat with Google Drive documents using OpenAI and Pinecone RAG search" (https://n8n.io/workflows/11870). It uses: Google Drive, AI Agent, Embeddings OpenAI, OpenAI Chat Model, Character Text Splitter, Pinecone Vector Store, Default Data Loader, Reranker Cohere. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.